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5d87287
Automated Leaderboard Update
Browse files- all_data_tasks/0/default.jsonl +25 -25
- all_data_tasks/1/default.jsonl +25 -25
- all_data_tasks/2/default.jsonl +37 -37
- all_data_tasks/3/default.jsonl +26 -26
- all_data_tasks/4/default.jsonl +0 -0
- all_data_tasks/40/default.jsonl +1 -1
- all_data_tasks/5/default.jsonl +31 -31
- all_data_tasks/6/default.jsonl +64 -64
- boards_data/en/data_overall/default.jsonl +0 -0
- boards_data/en/data_tasks/Classification/default.jsonl +25 -25
- boards_data/en/data_tasks/Clustering/default.jsonl +25 -25
- boards_data/en/data_tasks/PairClassification/default.jsonl +37 -37
- boards_data/en/data_tasks/Reranking/default.jsonl +26 -26
- boards_data/en/data_tasks/Retrieval/default.jsonl +0 -0
- boards_data/en/data_tasks/STS/default.jsonl +31 -31
- boards_data/en/data_tasks/Summarization/default.jsonl +64 -64
- boards_data/other-sts/data_tasks/STS/default.jsonl +1 -1
all_data_tasks/0/default.jsonl
CHANGED
@@ -7,7 +7,7 @@
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{"index":177,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.
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@@ -17,8 +17,8 @@
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{"index":
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{"index":
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{"index":9,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":79.25,"AmazonCounterfactualClassification (en)":88.31,"AmazonPolarityClassification":96.32,"AmazonReviewsClassification (en)":56.25,"Banking77Classification":88.59,"EmotionClassification":50.28,"ImdbClassification":95.75,"MassiveIntentClassification (en)":73.97,"MassiveScenarioClassification (en)":83.99,"MTOPDomainClassification (en)":97.65,"MTOPIntentClassification (en)":75.16,"ToxicConversationsClassification":81.75,"TweetSentimentExtractionClassification":62.98}
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{"index":
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{"index":
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{"index":207,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":77.43,"AmazonCounterfactualClassification (en)":82.97,"AmazonPolarityClassification":90.98,"AmazonReviewsClassification (en)":48.71,"Banking77Classification":88.15,"EmotionClassification":52.18,"ImdbClassification":87.42,"MassiveIntentClassification (en)":79.67,"MassiveScenarioClassification (en)":82.82,"MTOPDomainClassification (en)":96.16,"MTOPIntentClassification (en)":85.75,"ToxicConversationsClassification":71.91,"TweetSentimentExtractionClassification":62.4}
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{"index":258,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":77.17,"AmazonCounterfactualClassification (en)":79.66,"AmazonPolarityClassification":94.48,"AmazonReviewsClassification (en)":48.16,"Banking77Classification":88.91,"EmotionClassification":52.01,"ImdbClassification":89.47,"MassiveIntentClassification (en)":80.12,"MassiveScenarioClassification (en)":82.7,"MTOPDomainClassification (en)":96.46,"MTOPIntentClassification (en)":85.38,"ToxicConversationsClassification":66.18,"TweetSentimentExtractionClassification":62.54}
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{"index":178,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.97,"AmazonCounterfactualClassification (en)":75.85,"AmazonPolarityClassification":92.42,"AmazonReviewsClassification (en)":48.18,"Banking77Classification":87.79,"EmotionClassification":51.52,"ImdbClassification":92.85,"MassiveIntentClassification (en)":77.56,"MassiveScenarioClassification (en)":80.53,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.49,"ToxicConversationsClassification":70.91,"TweetSentimentExtractionClassification":59.94}
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{"index":
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{"index":
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{"index":25,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.97,"AmazonCounterfactualClassification (en)":75.85,"AmazonPolarityClassification":92.42,"AmazonReviewsClassification (en)":48.18,"Banking77Classification":87.79,"EmotionClassification":51.52,"ImdbClassification":92.85,"MassiveIntentClassification (en)":77.56,"MassiveScenarioClassification (en)":80.53,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.49,"ToxicConversationsClassification":70.91,"TweetSentimentExtractionClassification":59.94}
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{"index":141,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":75.97,"AmazonCounterfactualClassification (en)":75.76,"AmazonPolarityClassification":93.3,"AmazonReviewsClassification (en)":49.99,"Banking77Classification":86.4,"EmotionClassification":55.07,"ImdbClassification":90.15,"MassiveIntentClassification (en)":76.01,"MassiveScenarioClassification (en)":79.33,"MTOPDomainClassification (en)":95.29,"MTOPIntentClassification (en)":79.57,"ToxicConversationsClassification":69.44,"TweetSentimentExtractionClassification":61.27}
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{"index":75,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":75.92,"AmazonCounterfactualClassification (en)":79.94,"AmazonPolarityClassification":86.07,"AmazonReviewsClassification (en)":46.84,"Banking77Classification":88.05,"EmotionClassification":51.2,"ImdbClassification":82.94,"MassiveIntentClassification (en)":79.8,"MassiveScenarioClassification (en)":81.52,"MTOPDomainClassification (en)":96.14,"MTOPIntentClassification (en)":86.11,"ToxicConversationsClassification":70.59,"TweetSentimentExtractionClassification":61.9}
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{"index":166,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/elliotsayes\/mxbai-embed-large-v1-Q4_K_M-GGUF\">mxbai-embed-large-v1-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.64,"AmazonCounterfactualClassification (en)":75.04,"AmazonPolarityClassification":93.84,"AmazonReviewsClassification (en)":49.18,"Banking77Classification":87.82,"EmotionClassification":50.88,"ImdbClassification":92.83,"MassiveIntentClassification (en)":76.24,"MassiveScenarioClassification (en)":79.95,"MTOPDomainClassification (en)":93.95,"MTOPIntentClassification (en)":76.79,"ToxicConversationsClassification":71.48,"TweetSentimentExtractionClassification":59.71}
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{"index":125,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.58,"AmazonCounterfactualClassification (en)":75.55,"AmazonPolarityClassification":92.84,"AmazonReviewsClassification (en)":48.29,"Banking77Classification":87.69,"EmotionClassification":51.75,"ImdbClassification":92.78,"MassiveIntentClassification (en)":76.5,"MassiveScenarioClassification (en)":79.75,"MTOPDomainClassification (en)":94.02,"MTOPIntentClassification (en)":76.92,"ToxicConversationsClassification":71.09,"TweetSentimentExtractionClassification":59.75}
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{"index":
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{"index":
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{"index":334,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":75.45,"AmazonCounterfactualClassification (en)":78.93,"AmazonPolarityClassification":92.85,"AmazonReviewsClassification (en)":48.7,"Banking77Classification":85.69,"EmotionClassification":51.58,"ImdbClassification":87.67,"MassiveIntentClassification (en)":74.64,"MassiveScenarioClassification (en)":79.79,"MTOPDomainClassification (en)":95.36,"MTOPIntentClassification (en)":75.07,"ToxicConversationsClassification":72.92,"TweetSentimentExtractionClassification":62.22}
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60 |
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{"index":
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{"index":310,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.16,"AmazonCounterfactualClassification (en)":75.18,"AmazonPolarityClassification":93.07,"AmazonReviewsClassification (en)":48.42,"Banking77Classification":88.03,"EmotionClassification":51.93,"ImdbClassification":91.91,"MassiveIntentClassification (en)":75.91,"MassiveScenarioClassification (en)":79.43,"MTOPDomainClassification (en)":94.33,"MTOPIntentClassification (en)":76.61,"ToxicConversationsClassification":67.91,"TweetSentimentExtractionClassification":59.22}
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{"index":230,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.98,"AmazonCounterfactualClassification (en)":76.16,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":48.21,"Banking77Classification":86.35,"EmotionClassification":51.27,"ImdbClassification":89.72,"MassiveIntentClassification (en)":75.16,"MassiveScenarioClassification (en)":78.93,"MTOPDomainClassification (en)":93.95,"MTOPIntentClassification (en)":75.26,"ToxicConversationsClassification":72.12,"TweetSentimentExtractionClassification":59.67}
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{"index":8,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":74.79,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":96.41,"AmazonReviewsClassification (en)":57.06,"Banking77Classification":81.64,"EmotionClassification":48.29,"ImdbClassification":95.49,"MassiveIntentClassification (en)":71.29,"MassiveScenarioClassification (en)":76.74,"MTOPDomainClassification (en)":96.3,"MTOPIntentClassification (en)":67.93,"ToxicConversationsClassification":75.45,"TweetSentimentExtractionClassification":59.44}
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{"index":64,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":74.5,"AmazonCounterfactualClassification (en)":72.39,"AmazonPolarityClassification":93.71,"AmazonReviewsClassification (en)":50.85,"Banking77Classification":85.41,"EmotionClassification":55.93,"ImdbClassification":93.57,"MassiveIntentClassification (en)":73.88,"MassiveScenarioClassification (en)":77.42,"MTOPDomainClassification (en)":94.25,"MTOPIntentClassification (en)":67.51,"ToxicConversationsClassification":67.3,"TweetSentimentExtractionClassification":61.76}
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{"index":133,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.37,"AmazonCounterfactualClassification (en)":74.34,"AmazonPolarityClassification":93.05,"AmazonReviewsClassification (en)":46.08,"Banking77Classification":85.31,"EmotionClassification":48.95,"ImdbClassification":91.52,"MassiveIntentClassification (en)":75.83,"MassiveScenarioClassification (en)":78.73,"MTOPDomainClassification (en)":93.55,"MTOPIntentClassification (en)":75.72,"ToxicConversationsClassification":68.84,"TweetSentimentExtractionClassification":60.55}
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{"index":34,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.31,"AmazonCounterfactualClassification (en)":78.63,"AmazonPolarityClassification":94.8,"AmazonReviewsClassification (en)":51.02,"Banking77Classification":79.7,"EmotionClassification":52.74,"ImdbClassification":92.17,"MassiveIntentClassification (en)":70.01,"MassiveScenarioClassification (en)":76.34,"MTOPDomainClassification (en)":93.63,"MTOPIntentClassification (en)":64.93,"ToxicConversationsClassification":73.04,"TweetSentimentExtractionClassification":64.72}
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{"index":
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{"index":314,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wangjinzzhong\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.14,"AmazonCounterfactualClassification (en)":73.79,"AmazonPolarityClassification":92.75,"AmazonReviewsClassification (en)":46.99,"Banking77Classification":85.74,"EmotionClassification":47.84,"ImdbClassification":90.61,"MassiveIntentClassification (en)":74.81,"MassiveScenarioClassification (en)":78.7,"MTOPDomainClassification (en)":93.36,"MTOPIntentClassification (en)":74.75,"ToxicConversationsClassification":69.89,"TweetSentimentExtractionClassification":60.51}
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{"index":
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72 |
{"index":226,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":74.14,"AmazonCounterfactualClassification (en)":74.76,"AmazonPolarityClassification":93.26,"AmazonReviewsClassification (en)":46.16,"Banking77Classification":86.65,"EmotionClassification":49.32,"ImdbClassification":90.4,"MassiveIntentClassification (en)":73.87,"MassiveScenarioClassification (en)":78.17,"MTOPDomainClassification (en)":93.1,"MTOPIntentClassification (en)":73.24,"ToxicConversationsClassification":71.53,"TweetSentimentExtractionClassification":59.25}
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73 |
{"index":236,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
|
74 |
{"index":78,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":74.07,"AmazonCounterfactualClassification (en)":76.94,"AmazonPolarityClassification":85.29,"AmazonReviewsClassification (en)":47.09,"Banking77Classification":86.16,"EmotionClassification":48.88,"ImdbClassification":77.95,"MassiveIntentClassification (en)":76.65,"MassiveScenarioClassification (en)":79.99,"MTOPDomainClassification (en)":95.48,"MTOPIntentClassification (en)":82.84,"ToxicConversationsClassification":70.71,"TweetSentimentExtractionClassification":60.9}
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@@ -77,14 +77,14 @@
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|
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{"index":165,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":73.84,"AmazonCounterfactualClassification (en)":77.78,"AmazonPolarityClassification":92.81,"AmazonReviewsClassification (en)":46.71,"Banking77Classification":83.53,"EmotionClassification":46.95,"ImdbClassification":86.15,"MassiveIntentClassification (en)":73.04,"MassiveScenarioClassification (en)":77.65,"MTOPDomainClassification (en)":93.69,"MTOPIntentClassification (en)":75.31,"ToxicConversationsClassification":72.11,"TweetSentimentExtractionClassification":60.39}
|
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{"index":182,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.84,"AmazonCounterfactualClassification (en)":77.78,"AmazonPolarityClassification":92.81,"AmazonReviewsClassification (en)":46.71,"Banking77Classification":83.53,"EmotionClassification":46.95,"ImdbClassification":86.15,"MassiveIntentClassification (en)":73.04,"MassiveScenarioClassification (en)":77.65,"MTOPDomainClassification (en)":93.69,"MTOPIntentClassification (en)":75.31,"ToxicConversationsClassification":72.11,"TweetSentimentExtractionClassification":60.39}
|
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{"index":237,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.65,"AmazonCounterfactualClassification (en)":78.67,"AmazonPolarityClassification":90.41,"AmazonReviewsClassification (en)":47.81,"Banking77Classification":83.82,"EmotionClassification":48.81,"ImdbClassification":83.78,"MassiveIntentClassification (en)":72.76,"MassiveScenarioClassification (en)":76.7,"MTOPDomainClassification (en)":93.47,"MTOPIntentClassification (en)":75.27,"ToxicConversationsClassification":71.39,"TweetSentimentExtractionClassification":60.87}
|
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-
{"index":
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{"index":
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-
{"index":
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{"index":
|
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{"index":234,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.52,"AmazonCounterfactualClassification (en)":74.19,"AmazonPolarityClassification":91.89,"AmazonReviewsClassification (en)":46.72,"Banking77Classification":85.1,"EmotionClassification":46.84,"ImdbClassification":89.35,"MassiveIntentClassification (en)":74.01,"MassiveScenarioClassification (en)":77.96,"MTOPDomainClassification (en)":92.67,"MTOPIntentClassification (en)":74.03,"ToxicConversationsClassification":69.5,"TweetSentimentExtractionClassification":60.02}
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{"index":
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{"index":136,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/arkohut\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
|
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{"index":
|
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{"index":287,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.42,"AmazonCounterfactualClassification (en)":77.07,"AmazonPolarityClassification":92.79,"AmazonReviewsClassification (en)":48.93,"Banking77Classification":82.31,"EmotionClassification":48.57,"ImdbClassification":90.23,"MassiveIntentClassification (en)":73.44,"MassiveScenarioClassification (en)":74.82,"MTOPDomainClassification (en)":92.49,"MTOPIntentClassification (en)":68.33,"ToxicConversationsClassification":70.04,"TweetSentimentExtractionClassification":62.01}
|
89 |
{"index":143,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/benayad7\/concat-e5-small-bge-small-01\">concat-e5-small-bge-small-01<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.33,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":93.0,"AmazonReviewsClassification (en)":48.8,"Banking77Classification":82.19,"EmotionClassification":50.26,"ImdbClassification":91.64,"MassiveIntentClassification (en)":73.43,"MassiveScenarioClassification (en)":77.04,"MTOPDomainClassification (en)":93.05,"MTOPIntentClassification (en)":67.77,"ToxicConversationsClassification":65.77,"TweetSentimentExtractionClassification":63.29}
|
90 |
{"index":299,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.33,"AmazonCounterfactualClassification (en)":72.63,"AmazonPolarityClassification":92.52,"AmazonReviewsClassification (en)":49.07,"Banking77Classification":86.06,"EmotionClassification":47.88,"ImdbClassification":88.46,"MassiveIntentClassification (en)":72.62,"MassiveScenarioClassification (en)":76.77,"MTOPDomainClassification (en)":93.51,"MTOPIntentClassification (en)":73.25,"ToxicConversationsClassification":70.56,"TweetSentimentExtractionClassification":56.58}
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@@ -136,8 +136,8 @@
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|
136 |
{"index":209,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.65,"AmazonCounterfactualClassification (en)":70.12,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":50.52,"Banking77Classification":75.59,"EmotionClassification":45.98,"ImdbClassification":90.22,"MassiveIntentClassification (en)":65.03,"MassiveScenarioClassification (en)":71.05,"MTOPDomainClassification (en)":88.63,"MTOPIntentClassification (en)":58.08,"ToxicConversationsClassification":69.33,"TweetSentimentExtractionClassification":58.25}
|
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{"index":204,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
|
138 |
{"index":21,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q2_K-GGUF\">jina-embeddings-v2-base-es-Q2_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
|
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{"index":
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140 |
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{"index":
|
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{"index":205,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":68.82,"AmazonCounterfactualClassification (en)":71.36,"AmazonPolarityClassification":82.9,"AmazonReviewsClassification (en)":40.89,"Banking77Classification":78.25,"EmotionClassification":44.01,"ImdbClassification":73.64,"MassiveIntentClassification (en)":67.61,"MassiveScenarioClassification (en)":69.75,"MTOPDomainClassification (en)":93.96,"MTOPIntentClassification (en)":72.5,"ToxicConversationsClassification":71.54,"TweetSentimentExtractionClassification":59.4}
|
142 |
{"index":119,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":68.79,"AmazonCounterfactualClassification (en)":68.3,"AmazonPolarityClassification":90.31,"AmazonReviewsClassification (en)":46.27,"Banking77Classification":80.01,"EmotionClassification":43.67,"ImdbClassification":84.36,"MassiveIntentClassification (en)":66.69,"MassiveScenarioClassification (en)":73.06,"MTOPDomainClassification (en)":91.36,"MTOPIntentClassification (en)":60.64,"ToxicConversationsClassification":66.84,"TweetSentimentExtractionClassification":53.91}
|
143 |
{"index":235,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":68.55,"AmazonCounterfactualClassification (en)":70.72,"AmazonPolarityClassification":83.34,"AmazonReviewsClassification (en)":40.99,"Banking77Classification":81.25,"EmotionClassification":41.66,"ImdbClassification":74.81,"MassiveIntentClassification (en)":69.8,"MassiveScenarioClassification (en)":74.54,"MTOPDomainClassification (en)":91.22,"MTOPIntentClassification (en)":69.39,"ToxicConversationsClassification":67.44,"TweetSentimentExtractionClassification":57.48}
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@@ -148,8 +148,8 @@
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|
148 |
{"index":123,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":68.04,"AmazonCounterfactualClassification (en)":67.76,"AmazonPolarityClassification":79.75,"AmazonReviewsClassification (en)":37.45,"Banking77Classification":81.17,"EmotionClassification":44.53,"ImdbClassification":76.46,"MassiveIntentClassification (en)":68.58,"MassiveScenarioClassification (en)":73.92,"MTOPDomainClassification (en)":90.67,"MTOPIntentClassification (en)":68.29,"ToxicConversationsClassification":70.23,"TweetSentimentExtractionClassification":57.64}
|
149 |
{"index":118,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":68.01,"AmazonCounterfactualClassification (en)":78.48,"AmazonPolarityClassification":78.74,"AmazonReviewsClassification (en)":39.93,"Banking77Classification":80.26,"EmotionClassification":47.26,"ImdbClassification":71.79,"MassiveIntentClassification (en)":66.55,"MassiveScenarioClassification (en)":73.11,"MTOPDomainClassification (en)":93.04,"MTOPIntentClassification (en)":63.52,"ToxicConversationsClassification":66.74,"TweetSentimentExtractionClassification":56.73}
|
150 |
{"index":70,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
|
151 |
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{"index":
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152 |
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{"index":
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@@ -157,8 +157,8 @@
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{"index":
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34 |
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44 |
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45 |
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46 |
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49 |
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50 |
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51 |
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54 |
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55 |
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56 |
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57 |
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58 |
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59 |
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60 |
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61 |
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62 |
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63 |
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64 |
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65 |
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66 |
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67 |
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68 |
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69 |
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70 |
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71 |
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72 |
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73 |
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74 |
{"index":78,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":74.07,"AmazonCounterfactualClassification (en)":76.94,"AmazonPolarityClassification":85.29,"AmazonReviewsClassification (en)":47.09,"Banking77Classification":86.16,"EmotionClassification":48.88,"ImdbClassification":77.95,"MassiveIntentClassification (en)":76.65,"MassiveScenarioClassification (en)":79.99,"MTOPDomainClassification (en)":95.48,"MTOPIntentClassification (en)":82.84,"ToxicConversationsClassification":70.71,"TweetSentimentExtractionClassification":60.9}
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77 |
{"index":165,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":73.84,"AmazonCounterfactualClassification (en)":77.78,"AmazonPolarityClassification":92.81,"AmazonReviewsClassification (en)":46.71,"Banking77Classification":83.53,"EmotionClassification":46.95,"ImdbClassification":86.15,"MassiveIntentClassification (en)":73.04,"MassiveScenarioClassification (en)":77.65,"MTOPDomainClassification (en)":93.69,"MTOPIntentClassification (en)":75.31,"ToxicConversationsClassification":72.11,"TweetSentimentExtractionClassification":60.39}
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78 |
{"index":182,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.84,"AmazonCounterfactualClassification (en)":77.78,"AmazonPolarityClassification":92.81,"AmazonReviewsClassification (en)":46.71,"Banking77Classification":83.53,"EmotionClassification":46.95,"ImdbClassification":86.15,"MassiveIntentClassification (en)":73.04,"MassiveScenarioClassification (en)":77.65,"MTOPDomainClassification (en)":93.69,"MTOPIntentClassification (en)":75.31,"ToxicConversationsClassification":72.11,"TweetSentimentExtractionClassification":60.39}
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79 |
{"index":237,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.65,"AmazonCounterfactualClassification (en)":78.67,"AmazonPolarityClassification":90.41,"AmazonReviewsClassification (en)":47.81,"Banking77Classification":83.82,"EmotionClassification":48.81,"ImdbClassification":83.78,"MassiveIntentClassification (en)":72.76,"MassiveScenarioClassification (en)":76.7,"MTOPDomainClassification (en)":93.47,"MTOPIntentClassification (en)":75.27,"ToxicConversationsClassification":71.39,"TweetSentimentExtractionClassification":60.87}
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80 |
+
{"index":109,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
|
81 |
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{"index":243,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
|
82 |
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{"index":127,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
|
83 |
+
{"index":322,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
|
84 |
{"index":234,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.52,"AmazonCounterfactualClassification (en)":74.19,"AmazonPolarityClassification":91.89,"AmazonReviewsClassification (en)":46.72,"Banking77Classification":85.1,"EmotionClassification":46.84,"ImdbClassification":89.35,"MassiveIntentClassification (en)":74.01,"MassiveScenarioClassification (en)":77.96,"MTOPDomainClassification (en)":92.67,"MTOPIntentClassification (en)":74.03,"ToxicConversationsClassification":69.5,"TweetSentimentExtractionClassification":60.02}
|
85 |
+
{"index":313,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
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86 |
{"index":136,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/arkohut\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
|
87 |
+
{"index":203,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
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88 |
{"index":287,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.42,"AmazonCounterfactualClassification (en)":77.07,"AmazonPolarityClassification":92.79,"AmazonReviewsClassification (en)":48.93,"Banking77Classification":82.31,"EmotionClassification":48.57,"ImdbClassification":90.23,"MassiveIntentClassification (en)":73.44,"MassiveScenarioClassification (en)":74.82,"MTOPDomainClassification (en)":92.49,"MTOPIntentClassification (en)":68.33,"ToxicConversationsClassification":70.04,"TweetSentimentExtractionClassification":62.01}
|
89 |
{"index":143,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/benayad7\/concat-e5-small-bge-small-01\">concat-e5-small-bge-small-01<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.33,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":93.0,"AmazonReviewsClassification (en)":48.8,"Banking77Classification":82.19,"EmotionClassification":50.26,"ImdbClassification":91.64,"MassiveIntentClassification (en)":73.43,"MassiveScenarioClassification (en)":77.04,"MTOPDomainClassification (en)":93.05,"MTOPIntentClassification (en)":67.77,"ToxicConversationsClassification":65.77,"TweetSentimentExtractionClassification":63.29}
|
90 |
{"index":299,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.33,"AmazonCounterfactualClassification (en)":72.63,"AmazonPolarityClassification":92.52,"AmazonReviewsClassification (en)":49.07,"Banking77Classification":86.06,"EmotionClassification":47.88,"ImdbClassification":88.46,"MassiveIntentClassification (en)":72.62,"MassiveScenarioClassification (en)":76.77,"MTOPDomainClassification (en)":93.51,"MTOPIntentClassification (en)":73.25,"ToxicConversationsClassification":70.56,"TweetSentimentExtractionClassification":56.58}
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136 |
{"index":209,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.65,"AmazonCounterfactualClassification (en)":70.12,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":50.52,"Banking77Classification":75.59,"EmotionClassification":45.98,"ImdbClassification":90.22,"MassiveIntentClassification (en)":65.03,"MassiveScenarioClassification (en)":71.05,"MTOPDomainClassification (en)":88.63,"MTOPIntentClassification (en)":58.08,"ToxicConversationsClassification":69.33,"TweetSentimentExtractionClassification":58.25}
|
137 |
{"index":204,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
|
138 |
{"index":21,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q2_K-GGUF\">jina-embeddings-v2-base-es-Q2_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
|
139 |
+
{"index":22,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q4_K_M-GGUF\">jina-embeddings-v2-base-es-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
|
140 |
+
{"index":251,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
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141 |
{"index":205,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":68.82,"AmazonCounterfactualClassification (en)":71.36,"AmazonPolarityClassification":82.9,"AmazonReviewsClassification (en)":40.89,"Banking77Classification":78.25,"EmotionClassification":44.01,"ImdbClassification":73.64,"MassiveIntentClassification (en)":67.61,"MassiveScenarioClassification (en)":69.75,"MTOPDomainClassification (en)":93.96,"MTOPIntentClassification (en)":72.5,"ToxicConversationsClassification":71.54,"TweetSentimentExtractionClassification":59.4}
|
142 |
{"index":119,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":68.79,"AmazonCounterfactualClassification (en)":68.3,"AmazonPolarityClassification":90.31,"AmazonReviewsClassification (en)":46.27,"Banking77Classification":80.01,"EmotionClassification":43.67,"ImdbClassification":84.36,"MassiveIntentClassification (en)":66.69,"MassiveScenarioClassification (en)":73.06,"MTOPDomainClassification (en)":91.36,"MTOPIntentClassification (en)":60.64,"ToxicConversationsClassification":66.84,"TweetSentimentExtractionClassification":53.91}
|
143 |
{"index":235,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":68.55,"AmazonCounterfactualClassification (en)":70.72,"AmazonPolarityClassification":83.34,"AmazonReviewsClassification (en)":40.99,"Banking77Classification":81.25,"EmotionClassification":41.66,"ImdbClassification":74.81,"MassiveIntentClassification (en)":69.8,"MassiveScenarioClassification (en)":74.54,"MTOPDomainClassification (en)":91.22,"MTOPIntentClassification (en)":69.39,"ToxicConversationsClassification":67.44,"TweetSentimentExtractionClassification":57.48}
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148 |
{"index":123,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":68.04,"AmazonCounterfactualClassification (en)":67.76,"AmazonPolarityClassification":79.75,"AmazonReviewsClassification (en)":37.45,"Banking77Classification":81.17,"EmotionClassification":44.53,"ImdbClassification":76.46,"MassiveIntentClassification (en)":68.58,"MassiveScenarioClassification (en)":73.92,"MTOPDomainClassification (en)":90.67,"MTOPIntentClassification (en)":68.29,"ToxicConversationsClassification":70.23,"TweetSentimentExtractionClassification":57.64}
|
149 |
{"index":118,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":68.01,"AmazonCounterfactualClassification (en)":78.48,"AmazonPolarityClassification":78.74,"AmazonReviewsClassification (en)":39.93,"Banking77Classification":80.26,"EmotionClassification":47.26,"ImdbClassification":71.79,"MassiveIntentClassification (en)":66.55,"MassiveScenarioClassification (en)":73.11,"MTOPDomainClassification (en)":93.04,"MTOPIntentClassification (en)":63.52,"ToxicConversationsClassification":66.74,"TweetSentimentExtractionClassification":56.73}
|
150 |
{"index":70,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
|
151 |
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{"index":202,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
|
152 |
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{"index":147,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
|
153 |
{"index":307,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.9,"AmazonCounterfactualClassification (en)":76.19,"AmazonPolarityClassification":69.63,"AmazonReviewsClassification (en)":35.53,"Banking77Classification":78.13,"EmotionClassification":45.48,"ImdbClassification":64.06,"MassiveIntentClassification (en)":71.69,"MassiveScenarioClassification (en)":77.2,"MTOPDomainClassification (en)":92.94,"MTOPIntentClassification (en)":74.43,"ToxicConversationsClassification":70.17,"TweetSentimentExtractionClassification":59.31}
|
154 |
{"index":81,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.9,"AmazonCounterfactualClassification (en)":71.87,"AmazonPolarityClassification":78.79,"AmazonReviewsClassification (en)":39.31,"Banking77Classification":80.58,"EmotionClassification":44.79,"ImdbClassification":71.53,"MassiveIntentClassification (en)":68.84,"MassiveScenarioClassification (en)":73.75,"MTOPDomainClassification (en)":90.79,"MTOPIntentClassification (en)":68.72,"ToxicConversationsClassification":66.29,"TweetSentimentExtractionClassification":59.49}
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155 |
{"index":135,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"Average":67.8,"AmazonCounterfactualClassification (en)":68.75,"AmazonPolarityClassification":81.3,"AmazonReviewsClassification (en)":38.57,"Banking77Classification":79.98,"EmotionClassification":40.09,"ImdbClassification":80.09,"MassiveIntentClassification (en)":67.58,"MassiveScenarioClassification (en)":73.47,"MTOPDomainClassification (en)":90.36,"MTOPIntentClassification (en)":66.45,"ToxicConversationsClassification":69.34,"TweetSentimentExtractionClassification":57.6}
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|
|
157 |
{"index":68,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.77,"AmazonCounterfactualClassification (en)":74.28,"AmazonPolarityClassification":82.2,"AmazonReviewsClassification (en)":40.22,"Banking77Classification":80.31,"EmotionClassification":40.81,"ImdbClassification":73.7,"MassiveIntentClassification (en)":68.86,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":89.73,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":62.52,"TweetSentimentExtractionClassification":59.6}
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158 |
{"index":200,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":67.76,"AmazonCounterfactualClassification (en)":68.93,"AmazonPolarityClassification":69.14,"AmazonReviewsClassification (en)":31.38,"Banking77Classification":85.34,"EmotionClassification":45.84,"ImdbClassification":66.42,"MassiveIntentClassification (en)":72.73,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":92.83,"MTOPIntentClassification (en)":76.09,"ToxicConversationsClassification":69.13,"TweetSentimentExtractionClassification":58.16}
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159 |
{"index":80,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":67.67,"AmazonCounterfactualClassification (en)":72.93,"AmazonPolarityClassification":74.28,"AmazonReviewsClassification (en)":36.14,"Banking77Classification":79.0,"EmotionClassification":42.85,"ImdbClassification":71.92,"MassiveIntentClassification (en)":69.99,"MassiveScenarioClassification (en)":75.15,"MTOPDomainClassification (en)":91.24,"MTOPIntentClassification (en)":74.08,"ToxicConversationsClassification":68.4,"TweetSentimentExtractionClassification":56.08}
|
160 |
+
{"index":88,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v3\">gte-micro-v3<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
|
161 |
+
{"index":87,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v2\">gte-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
|
162 |
{"index":283,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":67.46,"AmazonCounterfactualClassification (en)":75.81,"AmazonPolarityClassification":76.41,"AmazonReviewsClassification (en)":38.52,"Banking77Classification":81.1,"EmotionClassification":45.85,"ImdbClassification":64.58,"MassiveIntentClassification (en)":69.32,"MassiveScenarioClassification (en)":75.35,"MTOPDomainClassification (en)":89.24,"MTOPIntentClassification (en)":68.69,"ToxicConversationsClassification":65.56,"TweetSentimentExtractionClassification":59.04}
|
163 |
{"index":279,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.41,"AmazonCounterfactualClassification (en)":67.3,"AmazonPolarityClassification":75.05,"AmazonReviewsClassification (en)":37.3,"Banking77Classification":82.32,"EmotionClassification":43.19,"ImdbClassification":70.8,"MassiveIntentClassification (en)":70.61,"MassiveScenarioClassification (en)":77.77,"MTOPDomainClassification (en)":93.84,"MTOPIntentClassification (en)":67.71,"ToxicConversationsClassification":68.48,"TweetSentimentExtractionClassification":54.54}
|
164 |
{"index":253,"Rank":164,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.32,"AmazonCounterfactualClassification (en)":75.75,"AmazonPolarityClassification":82.47,"AmazonReviewsClassification (en)":39.6,"Banking77Classification":75.76,"EmotionClassification":44.81,"ImdbClassification":73.53,"MassiveIntentClassification (en)":65.95,"MassiveScenarioClassification (en)":70.78,"MTOPDomainClassification (en)":84.29,"MTOPIntentClassification (en)":63.14,"ToxicConversationsClassification":72.04,"TweetSentimentExtractionClassification":59.73}
|
all_data_tasks/1/default.jsonl
CHANGED
@@ -6,26 +6,26 @@
|
|
6 |
{"index":111,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":56.17,"ArxivClusteringP2P":54.02,"ArxivClusteringS2S":48.82,"BiorxivClusteringP2P":50.76,"BiorxivClusteringS2S":46.57,"MedrxivClusteringP2P":46.66,"MedrxivClusteringS2S":44.18,"RedditClustering":62.92,"RedditClusteringP2P":72.74,"StackExchangeClustering":76.48,"StackExchangeClusteringP2P":48.29,"TwentyNewsgroupsClustering":66.42}
|
7 |
{"index":15,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.83,"ArxivClusteringP2P":56.4,"ArxivClusteringS2S":51.45,"BiorxivClusteringP2P":49.01,"BiorxivClusteringS2S":45.06,"MedrxivClusteringP2P":44.37,"MedrxivClusteringS2S":42.0,"RedditClustering":73.37,"RedditClusteringP2P":72.51,"StackExchangeClustering":79.07,"StackExchangeClusteringP2P":49.57,"TwentyNewsgroupsClustering":51.31}
|
8 |
{"index":27,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":54.65,"ArxivClusteringP2P":54.91,"ArxivClusteringS2S":50.28,"BiorxivClusteringP2P":52.64,"BiorxivClusteringS2S":49.2,"MedrxivClusteringP2P":45.81,"MedrxivClusteringS2S":44.11,"RedditClustering":56.03,"RedditClusteringP2P":65.83,"StackExchangeClustering":66.21,"StackExchangeClusteringP2P":45.74,"TwentyNewsgroupsClustering":70.44}
|
9 |
-
{"index":177,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.
|
10 |
{"index":6,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":53.35,"ArxivClusteringP2P":51.81,"ArxivClusteringS2S":44.73,"BiorxivClusteringP2P":46.07,"BiorxivClusteringS2S":40.64,"MedrxivClusteringP2P":42.94,"MedrxivClusteringS2S":41.44,"RedditClustering":68.5,"RedditClusteringP2P":64.86,"StackExchangeClustering":74.16,"StackExchangeClusteringP2P":45.1,"TwentyNewsgroupsClustering":66.62}
|
11 |
{"index":245,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":52.8,"ArxivClusteringP2P":53.76,"ArxivClusteringS2S":49.59,"BiorxivClusteringP2P":48.15,"BiorxivClusteringS2S":44.74,"MedrxivClusteringP2P":39.24,"MedrxivClusteringS2S":36.98,"RedditClustering":63.2,"RedditClusteringP2P":68.01,"StackExchangeClustering":74.99,"StackExchangeClusteringP2P":42.04,"TwentyNewsgroupsClustering":60.13}
|
12 |
{"index":9,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":52.42,"ArxivClusteringP2P":51.95,"ArxivClusteringS2S":42.48,"BiorxivClusteringP2P":50.15,"BiorxivClusteringS2S":42.84,"MedrxivClusteringP2P":47.24,"MedrxivClusteringS2S":43.48,"RedditClustering":63.73,"RedditClusteringP2P":64.09,"StackExchangeClustering":70.71,"StackExchangeClusteringP2P":40.34,"TwentyNewsgroupsClustering":59.56}
|
13 |
{"index":320,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.89,"ArxivClusteringP2P":52.03,"ArxivClusteringS2S":47.83,"BiorxivClusteringP2P":43.74,"BiorxivClusteringS2S":40.74,"MedrxivClusteringP2P":38.38,"MedrxivClusteringS2S":37.67,"RedditClustering":61.88,"RedditClusteringP2P":68.3,"StackExchangeClustering":75.91,"StackExchangeClusteringP2P":47.17,"TwentyNewsgroupsClustering":57.15}
|
14 |
-
{"index":
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15 |
-
{"index":
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16 |
{"index":69,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.42,"ArxivClusteringP2P":51.48,"ArxivClusteringS2S":47.3,"BiorxivClusteringP2P":42.73,"BiorxivClusteringS2S":39.58,"MedrxivClusteringP2P":37.84,"MedrxivClusteringS2S":36.65,"RedditClustering":61.52,"RedditClusteringP2P":68.24,"StackExchangeClustering":76.94,"StackExchangeClusteringP2P":46.04,"TwentyNewsgroupsClustering":57.3}
|
17 |
{"index":50,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-max-instruct-v1\">KaLM-embedding-multilingual-max-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":50.71,"ArxivClusteringP2P":52.69,"ArxivClusteringS2S":47.13,"BiorxivClusteringP2P":42.52,"BiorxivClusteringS2S":39.48,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":34.93,"RedditClustering":59.97,"RedditClusteringP2P":70.0,"StackExchangeClustering":74.6,"StackExchangeClusteringP2P":46.89,"TwentyNewsgroupsClustering":52.15}
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18 |
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{"index":
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19 |
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{"index":
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20 |
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{"index":
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21 |
{"index":185,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.26,"ArxivClusteringP2P":50.45,"ArxivClusteringS2S":45.5,"BiorxivClusteringP2P":43.53,"BiorxivClusteringS2S":40.24,"MedrxivClusteringP2P":38.19,"MedrxivClusteringS2S":37.45,"RedditClustering":57.71,"RedditClusteringP2P":66.49,"StackExchangeClustering":73.1,"StackExchangeClusteringP2P":45.91,"TwentyNewsgroupsClustering":54.31}
|
22 |
{"index":49,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.14,"ArxivClusteringP2P":50.72,"ArxivClusteringS2S":48.01,"BiorxivClusteringP2P":41.41,"BiorxivClusteringS2S":38.67,"MedrxivClusteringP2P":36.54,"MedrxivClusteringS2S":37.24,"RedditClustering":63.01,"RedditClusteringP2P":65.86,"StackExchangeClustering":74.41,"StackExchangeClusteringP2P":38.52,"TwentyNewsgroupsClustering":57.16}
|
23 |
{"index":53,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":49.28,"ArxivClusteringP2P":51.12,"ArxivClusteringS2S":47.02,"BiorxivClusteringP2P":42.0,"BiorxivClusteringS2S":39.62,"MedrxivClusteringP2P":36.95,"MedrxivClusteringS2S":36.28,"RedditClustering":57.93,"RedditClusteringP2P":65.29,"StackExchangeClustering":71.59,"StackExchangeClusteringP2P":39.01,"TwentyNewsgroupsClustering":55.25}
|
24 |
{"index":334,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":49.01,"ArxivClusteringP2P":49.01,"ArxivClusteringS2S":44.45,"BiorxivClusteringP2P":38.03,"BiorxivClusteringS2S":36.53,"MedrxivClusteringP2P":32.7,"MedrxivClusteringS2S":31.27,"RedditClustering":67.84,"RedditClusteringP2P":67.96,"StackExchangeClustering":76.26,"StackExchangeClusteringP2P":36.88,"TwentyNewsgroupsClustering":58.14}
|
25 |
{"index":16,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":48.75,"ArxivClusteringP2P":50.51,"ArxivClusteringS2S":45.01,"BiorxivClusteringP2P":43.21,"BiorxivClusteringS2S":38.82,"MedrxivClusteringP2P":39.39,"MedrxivClusteringS2S":37.9,"RedditClustering":55.82,"RedditClusteringP2P":62.09,"StackExchangeClustering":67.65,"StackExchangeClusteringP2P":46.31,"TwentyNewsgroupsClustering":49.58}
|
26 |
{"index":208,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.32,"ArxivClusteringP2P":48.63,"ArxivClusteringS2S":40.52,"BiorxivClusteringP2P":44.9,"BiorxivClusteringS2S":37.9,"MedrxivClusteringP2P":37.67,"MedrxivClusteringS2S":35.51,"RedditClustering":59.36,"RedditClusteringP2P":64.46,"StackExchangeClustering":66.77,"StackExchangeClusteringP2P":38.9,"TwentyNewsgroupsClustering":56.91}
|
27 |
-
{"index":
|
28 |
-
{"index":
|
29 |
{"index":258,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.86,"ArxivClusteringP2P":48.78,"ArxivClusteringS2S":46.11,"BiorxivClusteringP2P":38.79,"BiorxivClusteringS2S":37.37,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":32.33,"RedditClustering":62.16,"RedditClusteringP2P":65.96,"StackExchangeClustering":71.35,"StackExchangeClusteringP2P":36.11,"TwentyNewsgroupsClustering":54.78}
|
30 |
{"index":1,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":47.48,"ArxivClusteringP2P":46.27,"ArxivClusteringS2S":38.36,"BiorxivClusteringP2P":37.87,"BiorxivClusteringS2S":35.67,"MedrxivClusteringP2P":33.11,"MedrxivClusteringS2S":31.54,"RedditClustering":65.81,"RedditClusteringP2P":66.62,"StackExchangeClustering":74.52,"StackExchangeClusteringP2P":37.63,"TwentyNewsgroupsClustering":54.87}
|
31 |
{"index":35,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.43,"ArxivClusteringP2P":49.17,"ArxivClusteringS2S":42.18,"BiorxivClusteringP2P":40.96,"BiorxivClusteringS2S":37.25,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":33.39,"RedditClustering":58.46,"RedditClusteringP2P":66.35,"StackExchangeClustering":68.42,"StackExchangeClusteringP2P":37.51,"TwentyNewsgroupsClustering":50.64}
|
@@ -37,9 +37,9 @@
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|
37 |
{"index":18,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.82,"ArxivClusteringP2P":47.51,"ArxivClusteringS2S":42.05,"BiorxivClusteringP2P":40.32,"BiorxivClusteringS2S":37.55,"MedrxivClusteringP2P":34.6,"MedrxivClusteringS2S":32.27,"RedditClustering":58.61,"RedditClusteringP2P":66.87,"StackExchangeClustering":68.93,"StackExchangeClusteringP2P":37.6,"TwentyNewsgroupsClustering":48.75}
|
38 |
{"index":125,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.73,"ArxivClusteringP2P":49.03,"ArxivClusteringS2S":43.09,"BiorxivClusteringP2P":39.38,"BiorxivClusteringS2S":37.23,"MedrxivClusteringP2P":33.22,"MedrxivClusteringS2S":31.18,"RedditClustering":60.52,"RedditClusteringP2P":65.35,"StackExchangeClustering":66.54,"StackExchangeClusteringP2P":36.72,"TwentyNewsgroupsClustering":51.72}
|
39 |
{"index":227,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
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40 |
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{"index":
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41 |
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{"index":
|
42 |
-
{"index":
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43 |
{"index":335,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":46.65,"ArxivClusteringP2P":46.57,"ArxivClusteringS2S":39.35,"BiorxivClusteringP2P":37.77,"BiorxivClusteringS2S":34.68,"MedrxivClusteringP2P":32.77,"MedrxivClusteringS2S":31.85,"RedditClustering":64.09,"RedditClusteringP2P":65.12,"StackExchangeClustering":72.05,"StackExchangeClusteringP2P":34.04,"TwentyNewsgroupsClustering":54.81}
|
44 |
{"index":198,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.61,"ArxivClusteringP2P":48.73,"ArxivClusteringS2S":42.87,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":37.24,"MedrxivClusteringP2P":34.31,"MedrxivClusteringS2S":32.18,"RedditClustering":59.43,"RedditClusteringP2P":64.54,"StackExchangeClustering":65.08,"StackExchangeClusteringP2P":35.52,"TwentyNewsgroupsClustering":53.12}
|
45 |
{"index":37,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":46.6,"ArxivClusteringP2P":48.16,"ArxivClusteringS2S":40.79,"BiorxivClusteringP2P":40.5,"BiorxivClusteringS2S":36.91,"MedrxivClusteringP2P":36.18,"MedrxivClusteringS2S":33.44,"RedditClustering":58.11,"RedditClusteringP2P":65.02,"StackExchangeClustering":68.12,"StackExchangeClusteringP2P":35.22,"TwentyNewsgroupsClustering":50.14}
|
@@ -52,14 +52,14 @@
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|
52 |
{"index":298,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.2,"ArxivClusteringP2P":48.6,"ArxivClusteringS2S":43.01,"BiorxivClusteringP2P":38.2,"BiorxivClusteringS2S":36.59,"MedrxivClusteringP2P":33.17,"MedrxivClusteringS2S":31.77,"RedditClustering":59.33,"RedditClusteringP2P":62.59,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":36.0,"TwentyNewsgroupsClustering":52.31}
|
53 |
{"index":178,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
54 |
{"index":259,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
55 |
-
{"index":
|
56 |
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{"index":
|
57 |
{"index":226,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
|
58 |
{"index":332,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
|
59 |
{"index":23,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
|
60 |
{"index":142,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
61 |
-
{"index":
|
62 |
-
{"index":
|
63 |
{"index":77,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
|
64 |
{"index":51,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":45.46,"ArxivClusteringP2P":48.01,"ArxivClusteringS2S":39.4,"BiorxivClusteringP2P":40.01,"BiorxivClusteringS2S":33.79,"MedrxivClusteringP2P":35.54,"MedrxivClusteringS2S":32.7,"RedditClustering":55.17,"RedditClusteringP2P":64.4,"StackExchangeClustering":65.94,"StackExchangeClusteringP2P":35.59,"TwentyNewsgroupsClustering":49.55}
|
65 |
{"index":52,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":45.37,"ArxivClusteringP2P":47.08,"ArxivClusteringS2S":39.12,"BiorxivClusteringP2P":39.3,"BiorxivClusteringS2S":33.96,"MedrxivClusteringP2P":33.84,"MedrxivClusteringS2S":32.43,"RedditClustering":57.63,"RedditClusteringP2P":65.1,"StackExchangeClustering":67.22,"StackExchangeClusteringP2P":33.7,"TwentyNewsgroupsClustering":49.68}
|
@@ -83,13 +83,13 @@
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|
83 |
{"index":184,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.26,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":36.72,"BiorxivClusteringS2S":35.47,"MedrxivClusteringP2P":31.45,"MedrxivClusteringS2S":29.91,"RedditClustering":55.5,"RedditClusteringP2P":63.71,"StackExchangeClustering":65.23,"StackExchangeClusteringP2P":33.62,"TwentyNewsgroupsClustering":48.73}
|
84 |
{"index":182,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.1,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.12,"BiorxivClusteringS2S":33.41,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":29.68,"RedditClustering":56.54,"RedditClusteringP2P":63.23,"StackExchangeClustering":64.6,"StackExchangeClusteringP2P":33.02,"TwentyNewsgroupsClustering":49.86}
|
85 |
{"index":109,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
86 |
-
{"index":
|
87 |
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{"index":
|
88 |
-
{"index":
|
89 |
{"index":236,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
90 |
-
{"index":
|
91 |
-
{"index":
|
92 |
-
{"index":
|
93 |
{"index":165,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
|
94 |
{"index":287,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.72,"ArxivClusteringP2P":42.89,"ArxivClusteringS2S":33.47,"BiorxivClusteringP2P":36.53,"BiorxivClusteringS2S":28.66,"MedrxivClusteringP2P":32.09,"MedrxivClusteringS2S":26.82,"RedditClustering":58.99,"RedditClusteringP2P":64.46,"StackExchangeClustering":70.78,"StackExchangeClusteringP2P":35.25,"TwentyNewsgroupsClustering":50.93}
|
95 |
{"index":241,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":43.71,"ArxivClusteringP2P":45.45,"ArxivClusteringS2S":36.19,"BiorxivClusteringP2P":38.41,"BiorxivClusteringS2S":32.28,"MedrxivClusteringP2P":34.47,"MedrxivClusteringS2S":31.43,"RedditClustering":55.9,"RedditClusteringP2P":60.58,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":49.36}
|
@@ -154,10 +154,10 @@
|
|
154 |
{"index":89,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
|
155 |
{"index":138,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.48,"ArxivClusteringP2P":45.31,"ArxivClusteringS2S":35.45,"BiorxivClusteringP2P":38.38,"BiorxivClusteringS2S":31.09,"MedrxivClusteringP2P":33.35,"MedrxivClusteringS2S":29.79,"RedditClustering":44.12,"RedditClusteringP2P":48.68,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":33.91,"TwentyNewsgroupsClustering":41.13}
|
156 |
{"index":122,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.46,"ArxivClusteringP2P":44.6,"ArxivClusteringS2S":34.48,"BiorxivClusteringP2P":37.13,"BiorxivClusteringS2S":29.72,"MedrxivClusteringP2P":31.98,"MedrxivClusteringS2S":29.26,"RedditClustering":45.27,"RedditClusteringP2P":54.47,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":34.67,"TwentyNewsgroupsClustering":39.37}
|
157 |
-
{"index":
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158 |
-
{"index":
|
159 |
-
{"index":
|
160 |
-
{"index":
|
161 |
{"index":123,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.18,"ArxivClusteringP2P":44.53,"ArxivClusteringS2S":33.25,"BiorxivClusteringP2P":36.11,"BiorxivClusteringS2S":28.06,"MedrxivClusteringP2P":31.56,"MedrxivClusteringS2S":28.13,"RedditClustering":45.46,"RedditClusteringP2P":55.16,"StackExchangeClustering":54.51,"StackExchangeClusteringP2P":34.07,"TwentyNewsgroupsClustering":40.19}
|
162 |
{"index":68,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.16,"ArxivClusteringP2P":41.76,"ArxivClusteringS2S":31.63,"BiorxivClusteringP2P":36.01,"BiorxivClusteringS2S":28.77,"MedrxivClusteringP2P":31.27,"MedrxivClusteringS2S":28.97,"RedditClustering":47.39,"RedditClusteringP2P":58.38,"StackExchangeClustering":52.47,"StackExchangeClusteringP2P":33.63,"TwentyNewsgroupsClustering":40.52}
|
163 |
{"index":194,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":39.11,"ArxivClusteringP2P":44.52,"ArxivClusteringS2S":34.45,"BiorxivClusteringP2P":35.25,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":29.43,"MedrxivClusteringS2S":28.87,"RedditClustering":44.52,"RedditClusteringP2P":53.61,"StackExchangeClustering":57.11,"StackExchangeClusteringP2P":31.91,"TwentyNewsgroupsClustering":39.8}
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6 |
{"index":111,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":56.17,"ArxivClusteringP2P":54.02,"ArxivClusteringS2S":48.82,"BiorxivClusteringP2P":50.76,"BiorxivClusteringS2S":46.57,"MedrxivClusteringP2P":46.66,"MedrxivClusteringS2S":44.18,"RedditClustering":62.92,"RedditClusteringP2P":72.74,"StackExchangeClustering":76.48,"StackExchangeClusteringP2P":48.29,"TwentyNewsgroupsClustering":66.42}
|
7 |
{"index":15,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.83,"ArxivClusteringP2P":56.4,"ArxivClusteringS2S":51.45,"BiorxivClusteringP2P":49.01,"BiorxivClusteringS2S":45.06,"MedrxivClusteringP2P":44.37,"MedrxivClusteringS2S":42.0,"RedditClustering":73.37,"RedditClusteringP2P":72.51,"StackExchangeClustering":79.07,"StackExchangeClusteringP2P":49.57,"TwentyNewsgroupsClustering":51.31}
|
8 |
{"index":27,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":54.65,"ArxivClusteringP2P":54.91,"ArxivClusteringS2S":50.28,"BiorxivClusteringP2P":52.64,"BiorxivClusteringS2S":49.2,"MedrxivClusteringP2P":45.81,"MedrxivClusteringS2S":44.11,"RedditClustering":56.03,"RedditClusteringP2P":65.83,"StackExchangeClustering":66.21,"StackExchangeClusteringP2P":45.74,"TwentyNewsgroupsClustering":70.44}
|
9 |
+
{"index":177,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.36,"ArxivClusteringP2P":54.27,"ArxivClusteringS2S":49.82,"BiorxivClusteringP2P":47.22,"BiorxivClusteringS2S":43.9,"MedrxivClusteringP2P":41.54,"MedrxivClusteringS2S":40.54,"RedditClustering":65.92,"RedditClusteringP2P":68.02,"StackExchangeClustering":76.99,"StackExchangeClusteringP2P":45.16,"TwentyNewsgroupsClustering":64.6}
|
10 |
{"index":6,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":53.35,"ArxivClusteringP2P":51.81,"ArxivClusteringS2S":44.73,"BiorxivClusteringP2P":46.07,"BiorxivClusteringS2S":40.64,"MedrxivClusteringP2P":42.94,"MedrxivClusteringS2S":41.44,"RedditClustering":68.5,"RedditClusteringP2P":64.86,"StackExchangeClustering":74.16,"StackExchangeClusteringP2P":45.1,"TwentyNewsgroupsClustering":66.62}
|
11 |
{"index":245,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":52.8,"ArxivClusteringP2P":53.76,"ArxivClusteringS2S":49.59,"BiorxivClusteringP2P":48.15,"BiorxivClusteringS2S":44.74,"MedrxivClusteringP2P":39.24,"MedrxivClusteringS2S":36.98,"RedditClustering":63.2,"RedditClusteringP2P":68.01,"StackExchangeClustering":74.99,"StackExchangeClusteringP2P":42.04,"TwentyNewsgroupsClustering":60.13}
|
12 |
{"index":9,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":52.42,"ArxivClusteringP2P":51.95,"ArxivClusteringS2S":42.48,"BiorxivClusteringP2P":50.15,"BiorxivClusteringS2S":42.84,"MedrxivClusteringP2P":47.24,"MedrxivClusteringS2S":43.48,"RedditClustering":63.73,"RedditClusteringP2P":64.09,"StackExchangeClustering":70.71,"StackExchangeClusteringP2P":40.34,"TwentyNewsgroupsClustering":59.56}
|
13 |
{"index":320,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.89,"ArxivClusteringP2P":52.03,"ArxivClusteringS2S":47.83,"BiorxivClusteringP2P":43.74,"BiorxivClusteringS2S":40.74,"MedrxivClusteringP2P":38.38,"MedrxivClusteringS2S":37.67,"RedditClustering":61.88,"RedditClusteringP2P":68.3,"StackExchangeClustering":75.91,"StackExchangeClusteringP2P":47.17,"TwentyNewsgroupsClustering":57.15}
|
14 |
+
{"index":151,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/compressa-ai\/Compressa-Embeddings\">Compressa-Embeddings<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.67,"ArxivClusteringP2P":52.08,"ArxivClusteringS2S":47.38,"BiorxivClusteringP2P":43.94,"BiorxivClusteringS2S":41.14,"MedrxivClusteringP2P":40.03,"MedrxivClusteringS2S":39.0,"RedditClustering":59.9,"RedditClusteringP2P":67.64,"StackExchangeClustering":74.25,"StackExchangeClusteringP2P":46.78,"TwentyNewsgroupsClustering":56.27}
|
15 |
+
{"index":112,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.67,"ArxivClusteringP2P":52.08,"ArxivClusteringS2S":47.38,"BiorxivClusteringP2P":43.94,"BiorxivClusteringS2S":41.14,"MedrxivClusteringP2P":40.03,"MedrxivClusteringS2S":39.0,"RedditClustering":59.9,"RedditClusteringP2P":67.64,"StackExchangeClustering":74.25,"StackExchangeClusteringP2P":46.78,"TwentyNewsgroupsClustering":56.27}
|
16 |
{"index":69,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.42,"ArxivClusteringP2P":51.48,"ArxivClusteringS2S":47.3,"BiorxivClusteringP2P":42.73,"BiorxivClusteringS2S":39.58,"MedrxivClusteringP2P":37.84,"MedrxivClusteringS2S":36.65,"RedditClustering":61.52,"RedditClusteringP2P":68.24,"StackExchangeClustering":76.94,"StackExchangeClusteringP2P":46.04,"TwentyNewsgroupsClustering":57.3}
|
17 |
{"index":50,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-max-instruct-v1\">KaLM-embedding-multilingual-max-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":50.71,"ArxivClusteringP2P":52.69,"ArxivClusteringS2S":47.13,"BiorxivClusteringP2P":42.52,"BiorxivClusteringS2S":39.48,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":34.93,"RedditClustering":59.97,"RedditClusteringP2P":70.0,"StackExchangeClustering":74.6,"StackExchangeClusteringP2P":46.89,"TwentyNewsgroupsClustering":52.15}
|
18 |
+
{"index":48,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":50.61,"ArxivClusteringP2P":51.67,"ArxivClusteringS2S":48.11,"BiorxivClusteringP2P":40.87,"BiorxivClusteringS2S":39.8,"MedrxivClusteringP2P":36.52,"MedrxivClusteringS2S":36.8,"RedditClustering":61.3,"RedditClusteringP2P":67.26,"StackExchangeClustering":77.33,"StackExchangeClusteringP2P":41.33,"TwentyNewsgroupsClustering":55.7}
|
19 |
+
{"index":297,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":50.61,"ArxivClusteringP2P":51.67,"ArxivClusteringS2S":48.11,"BiorxivClusteringP2P":40.87,"BiorxivClusteringS2S":39.8,"MedrxivClusteringP2P":36.52,"MedrxivClusteringS2S":36.8,"RedditClustering":61.3,"RedditClusteringP2P":67.26,"StackExchangeClustering":77.33,"StackExchangeClusteringP2P":41.33,"TwentyNewsgroupsClustering":55.7}
|
20 |
+
{"index":30,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":50.61,"ArxivClusteringP2P":51.67,"ArxivClusteringS2S":48.11,"BiorxivClusteringP2P":40.87,"BiorxivClusteringS2S":39.8,"MedrxivClusteringP2P":36.52,"MedrxivClusteringS2S":36.8,"RedditClustering":61.3,"RedditClusteringP2P":67.26,"StackExchangeClustering":77.33,"StackExchangeClusteringP2P":41.33,"TwentyNewsgroupsClustering":55.7}
|
21 |
{"index":185,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.26,"ArxivClusteringP2P":50.45,"ArxivClusteringS2S":45.5,"BiorxivClusteringP2P":43.53,"BiorxivClusteringS2S":40.24,"MedrxivClusteringP2P":38.19,"MedrxivClusteringS2S":37.45,"RedditClustering":57.71,"RedditClusteringP2P":66.49,"StackExchangeClustering":73.1,"StackExchangeClusteringP2P":45.91,"TwentyNewsgroupsClustering":54.31}
|
22 |
{"index":49,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.14,"ArxivClusteringP2P":50.72,"ArxivClusteringS2S":48.01,"BiorxivClusteringP2P":41.41,"BiorxivClusteringS2S":38.67,"MedrxivClusteringP2P":36.54,"MedrxivClusteringS2S":37.24,"RedditClustering":63.01,"RedditClusteringP2P":65.86,"StackExchangeClustering":74.41,"StackExchangeClusteringP2P":38.52,"TwentyNewsgroupsClustering":57.16}
|
23 |
{"index":53,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":49.28,"ArxivClusteringP2P":51.12,"ArxivClusteringS2S":47.02,"BiorxivClusteringP2P":42.0,"BiorxivClusteringS2S":39.62,"MedrxivClusteringP2P":36.95,"MedrxivClusteringS2S":36.28,"RedditClustering":57.93,"RedditClusteringP2P":65.29,"StackExchangeClustering":71.59,"StackExchangeClusteringP2P":39.01,"TwentyNewsgroupsClustering":55.25}
|
24 |
{"index":334,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":49.01,"ArxivClusteringP2P":49.01,"ArxivClusteringS2S":44.45,"BiorxivClusteringP2P":38.03,"BiorxivClusteringS2S":36.53,"MedrxivClusteringP2P":32.7,"MedrxivClusteringS2S":31.27,"RedditClustering":67.84,"RedditClusteringP2P":67.96,"StackExchangeClustering":76.26,"StackExchangeClusteringP2P":36.88,"TwentyNewsgroupsClustering":58.14}
|
25 |
{"index":16,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":48.75,"ArxivClusteringP2P":50.51,"ArxivClusteringS2S":45.01,"BiorxivClusteringP2P":43.21,"BiorxivClusteringS2S":38.82,"MedrxivClusteringP2P":39.39,"MedrxivClusteringS2S":37.9,"RedditClustering":55.82,"RedditClusteringP2P":62.09,"StackExchangeClustering":67.65,"StackExchangeClusteringP2P":46.31,"TwentyNewsgroupsClustering":49.58}
|
26 |
{"index":208,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.32,"ArxivClusteringP2P":48.63,"ArxivClusteringS2S":40.52,"BiorxivClusteringP2P":44.9,"BiorxivClusteringS2S":37.9,"MedrxivClusteringP2P":37.67,"MedrxivClusteringS2S":35.51,"RedditClustering":59.36,"RedditClusteringP2P":64.46,"StackExchangeClustering":66.77,"StackExchangeClusteringP2P":38.9,"TwentyNewsgroupsClustering":56.91}
|
27 |
+
{"index":19,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":47.96,"ArxivClusteringP2P":48.47,"ArxivClusteringS2S":43.39,"BiorxivClusteringP2P":40.58,"BiorxivClusteringS2S":37.94,"MedrxivClusteringP2P":35.04,"MedrxivClusteringS2S":32.94,"RedditClustering":59.76,"RedditClusteringP2P":68.03,"StackExchangeClustering":71.27,"StackExchangeClusteringP2P":39.18,"TwentyNewsgroupsClustering":50.91}
|
28 |
+
{"index":252,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":47.96,"ArxivClusteringP2P":48.47,"ArxivClusteringS2S":43.39,"BiorxivClusteringP2P":40.58,"BiorxivClusteringS2S":37.94,"MedrxivClusteringP2P":35.04,"MedrxivClusteringS2S":32.94,"RedditClustering":59.76,"RedditClusteringP2P":68.03,"StackExchangeClustering":71.27,"StackExchangeClusteringP2P":39.18,"TwentyNewsgroupsClustering":50.91}
|
29 |
{"index":258,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.86,"ArxivClusteringP2P":48.78,"ArxivClusteringS2S":46.11,"BiorxivClusteringP2P":38.79,"BiorxivClusteringS2S":37.37,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":32.33,"RedditClustering":62.16,"RedditClusteringP2P":65.96,"StackExchangeClustering":71.35,"StackExchangeClusteringP2P":36.11,"TwentyNewsgroupsClustering":54.78}
|
30 |
{"index":1,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":47.48,"ArxivClusteringP2P":46.27,"ArxivClusteringS2S":38.36,"BiorxivClusteringP2P":37.87,"BiorxivClusteringS2S":35.67,"MedrxivClusteringP2P":33.11,"MedrxivClusteringS2S":31.54,"RedditClustering":65.81,"RedditClusteringP2P":66.62,"StackExchangeClustering":74.52,"StackExchangeClusteringP2P":37.63,"TwentyNewsgroupsClustering":54.87}
|
31 |
{"index":35,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.43,"ArxivClusteringP2P":49.17,"ArxivClusteringS2S":42.18,"BiorxivClusteringP2P":40.96,"BiorxivClusteringS2S":37.25,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":33.39,"RedditClustering":58.46,"RedditClusteringP2P":66.35,"StackExchangeClustering":68.42,"StackExchangeClusteringP2P":37.51,"TwentyNewsgroupsClustering":50.64}
|
|
|
37 |
{"index":18,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.82,"ArxivClusteringP2P":47.51,"ArxivClusteringS2S":42.05,"BiorxivClusteringP2P":40.32,"BiorxivClusteringS2S":37.55,"MedrxivClusteringP2P":34.6,"MedrxivClusteringS2S":32.27,"RedditClustering":58.61,"RedditClusteringP2P":66.87,"StackExchangeClustering":68.93,"StackExchangeClusteringP2P":37.6,"TwentyNewsgroupsClustering":48.75}
|
38 |
{"index":125,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.73,"ArxivClusteringP2P":49.03,"ArxivClusteringS2S":43.09,"BiorxivClusteringP2P":39.38,"BiorxivClusteringS2S":37.23,"MedrxivClusteringP2P":33.22,"MedrxivClusteringS2S":31.18,"RedditClustering":60.52,"RedditClusteringP2P":65.35,"StackExchangeClustering":66.54,"StackExchangeClusteringP2P":36.72,"TwentyNewsgroupsClustering":51.72}
|
39 |
{"index":227,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
40 |
+
{"index":166,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/elliotsayes\/mxbai-embed-large-v1-Q4_K_M-GGUF\">mxbai-embed-large-v1-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
41 |
+
{"index":293,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/smcleod\/mxbai-embed-large-v1-Q8_0-GGUF\">mxbai-embed-large-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
42 |
+
{"index":294,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/stellarator\/mxbai-embed-large-v1-Q5_K_M-GGUF\">mxbai-embed-large-v1-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
43 |
{"index":335,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":46.65,"ArxivClusteringP2P":46.57,"ArxivClusteringS2S":39.35,"BiorxivClusteringP2P":37.77,"BiorxivClusteringS2S":34.68,"MedrxivClusteringP2P":32.77,"MedrxivClusteringS2S":31.85,"RedditClustering":64.09,"RedditClusteringP2P":65.12,"StackExchangeClustering":72.05,"StackExchangeClusteringP2P":34.04,"TwentyNewsgroupsClustering":54.81}
|
44 |
{"index":198,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.61,"ArxivClusteringP2P":48.73,"ArxivClusteringS2S":42.87,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":37.24,"MedrxivClusteringP2P":34.31,"MedrxivClusteringS2S":32.18,"RedditClustering":59.43,"RedditClusteringP2P":64.54,"StackExchangeClustering":65.08,"StackExchangeClusteringP2P":35.52,"TwentyNewsgroupsClustering":53.12}
|
45 |
{"index":37,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":46.6,"ArxivClusteringP2P":48.16,"ArxivClusteringS2S":40.79,"BiorxivClusteringP2P":40.5,"BiorxivClusteringS2S":36.91,"MedrxivClusteringP2P":36.18,"MedrxivClusteringS2S":33.44,"RedditClustering":58.11,"RedditClusteringP2P":65.02,"StackExchangeClustering":68.12,"StackExchangeClusteringP2P":35.22,"TwentyNewsgroupsClustering":50.14}
|
|
|
52 |
{"index":298,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.2,"ArxivClusteringP2P":48.6,"ArxivClusteringS2S":43.01,"BiorxivClusteringP2P":38.2,"BiorxivClusteringS2S":36.59,"MedrxivClusteringP2P":33.17,"MedrxivClusteringS2S":31.77,"RedditClustering":59.33,"RedditClusteringP2P":62.59,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":36.0,"TwentyNewsgroupsClustering":52.31}
|
53 |
{"index":178,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
54 |
{"index":259,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
55 |
+
{"index":260,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
56 |
+
{"index":25,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
57 |
{"index":226,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
|
58 |
{"index":332,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
|
59 |
{"index":23,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
|
60 |
{"index":142,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
61 |
+
{"index":212,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
|
62 |
+
{"index":113,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
|
63 |
{"index":77,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
|
64 |
{"index":51,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":45.46,"ArxivClusteringP2P":48.01,"ArxivClusteringS2S":39.4,"BiorxivClusteringP2P":40.01,"BiorxivClusteringS2S":33.79,"MedrxivClusteringP2P":35.54,"MedrxivClusteringS2S":32.7,"RedditClustering":55.17,"RedditClusteringP2P":64.4,"StackExchangeClustering":65.94,"StackExchangeClusteringP2P":35.59,"TwentyNewsgroupsClustering":49.55}
|
65 |
{"index":52,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":45.37,"ArxivClusteringP2P":47.08,"ArxivClusteringS2S":39.12,"BiorxivClusteringP2P":39.3,"BiorxivClusteringS2S":33.96,"MedrxivClusteringP2P":33.84,"MedrxivClusteringS2S":32.43,"RedditClustering":57.63,"RedditClusteringP2P":65.1,"StackExchangeClustering":67.22,"StackExchangeClusteringP2P":33.7,"TwentyNewsgroupsClustering":49.68}
|
|
|
83 |
{"index":184,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.26,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":36.72,"BiorxivClusteringS2S":35.47,"MedrxivClusteringP2P":31.45,"MedrxivClusteringS2S":29.91,"RedditClustering":55.5,"RedditClusteringP2P":63.71,"StackExchangeClustering":65.23,"StackExchangeClusteringP2P":33.62,"TwentyNewsgroupsClustering":48.73}
|
84 |
{"index":182,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.1,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.12,"BiorxivClusteringS2S":33.41,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":29.68,"RedditClustering":56.54,"RedditClusteringP2P":63.23,"StackExchangeClustering":64.6,"StackExchangeClusteringP2P":33.02,"TwentyNewsgroupsClustering":49.86}
|
85 |
{"index":109,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
86 |
+
{"index":322,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
87 |
+
{"index":127,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
88 |
+
{"index":243,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
89 |
{"index":236,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
90 |
+
{"index":28,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":43.82,"ArxivClusteringP2P":47.4,"ArxivClusteringS2S":40.02,"BiorxivClusteringP2P":38.47,"BiorxivClusteringS2S":34.72,"MedrxivClusteringP2P":33.06,"MedrxivClusteringS2S":30.86,"RedditClustering":52.32,"RedditClusteringP2P":60.64,"StackExchangeClustering":60.78,"StackExchangeClusteringP2P":35.27,"TwentyNewsgroupsClustering":48.52}
|
91 |
+
{"index":54,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HowardC\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.82,"ArxivClusteringP2P":47.4,"ArxivClusteringS2S":40.02,"BiorxivClusteringP2P":38.47,"BiorxivClusteringS2S":34.72,"MedrxivClusteringP2P":33.06,"MedrxivClusteringS2S":30.86,"RedditClustering":52.32,"RedditClusteringP2P":60.64,"StackExchangeClustering":60.78,"StackExchangeClusteringP2P":35.27,"TwentyNewsgroupsClustering":48.52}
|
92 |
+
{"index":314,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wangjinzzhong\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.82,"ArxivClusteringP2P":47.4,"ArxivClusteringS2S":40.02,"BiorxivClusteringP2P":38.47,"BiorxivClusteringS2S":34.72,"MedrxivClusteringP2P":33.06,"MedrxivClusteringS2S":30.86,"RedditClustering":52.32,"RedditClusteringP2P":60.64,"StackExchangeClustering":60.78,"StackExchangeClusteringP2P":35.27,"TwentyNewsgroupsClustering":48.52}
|
93 |
{"index":165,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
|
94 |
{"index":287,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.72,"ArxivClusteringP2P":42.89,"ArxivClusteringS2S":33.47,"BiorxivClusteringP2P":36.53,"BiorxivClusteringS2S":28.66,"MedrxivClusteringP2P":32.09,"MedrxivClusteringS2S":26.82,"RedditClustering":58.99,"RedditClusteringP2P":64.46,"StackExchangeClustering":70.78,"StackExchangeClusteringP2P":35.25,"TwentyNewsgroupsClustering":50.93}
|
95 |
{"index":241,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":43.71,"ArxivClusteringP2P":45.45,"ArxivClusteringS2S":36.19,"BiorxivClusteringP2P":38.41,"BiorxivClusteringS2S":32.28,"MedrxivClusteringP2P":34.47,"MedrxivClusteringS2S":31.43,"RedditClustering":55.9,"RedditClusteringP2P":60.58,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":49.36}
|
|
|
154 |
{"index":89,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
|
155 |
{"index":138,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.48,"ArxivClusteringP2P":45.31,"ArxivClusteringS2S":35.45,"BiorxivClusteringP2P":38.38,"BiorxivClusteringS2S":31.09,"MedrxivClusteringP2P":33.35,"MedrxivClusteringS2S":29.79,"RedditClustering":44.12,"RedditClusteringP2P":48.68,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":33.91,"TwentyNewsgroupsClustering":41.13}
|
156 |
{"index":122,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.46,"ArxivClusteringP2P":44.6,"ArxivClusteringS2S":34.48,"BiorxivClusteringP2P":37.13,"BiorxivClusteringS2S":29.72,"MedrxivClusteringP2P":31.98,"MedrxivClusteringS2S":29.26,"RedditClustering":45.27,"RedditClusteringP2P":54.47,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":34.67,"TwentyNewsgroupsClustering":39.37}
|
157 |
+
{"index":22,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q4_K_M-GGUF\">jina-embeddings-v2-base-es-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.29,"ArxivClusteringP2P":41.55,"ArxivClusteringS2S":32.19,"BiorxivClusteringP2P":35.17,"BiorxivClusteringS2S":28.89,"MedrxivClusteringP2P":32.19,"MedrxivClusteringS2S":28.78,"RedditClustering":48.28,"RedditClusteringP2P":56.03,"StackExchangeClustering":55.39,"StackExchangeClusteringP2P":33.57,"TwentyNewsgroupsClustering":40.2}
|
158 |
+
{"index":251,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.29,"ArxivClusteringP2P":41.55,"ArxivClusteringS2S":32.19,"BiorxivClusteringP2P":35.17,"BiorxivClusteringS2S":28.89,"MedrxivClusteringP2P":32.19,"MedrxivClusteringS2S":28.78,"RedditClustering":48.28,"RedditClusteringP2P":56.03,"StackExchangeClustering":55.39,"StackExchangeClusteringP2P":33.57,"TwentyNewsgroupsClustering":40.2}
|
159 |
+
{"index":204,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":39.29,"ArxivClusteringP2P":41.55,"ArxivClusteringS2S":32.19,"BiorxivClusteringP2P":35.17,"BiorxivClusteringS2S":28.89,"MedrxivClusteringP2P":32.19,"MedrxivClusteringS2S":28.78,"RedditClustering":48.28,"RedditClusteringP2P":56.03,"StackExchangeClustering":55.39,"StackExchangeClusteringP2P":33.57,"TwentyNewsgroupsClustering":40.2}
|
160 |
+
{"index":21,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q2_K-GGUF\">jina-embeddings-v2-base-es-Q2_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.29,"ArxivClusteringP2P":41.55,"ArxivClusteringS2S":32.19,"BiorxivClusteringP2P":35.17,"BiorxivClusteringS2S":28.89,"MedrxivClusteringP2P":32.19,"MedrxivClusteringS2S":28.78,"RedditClustering":48.28,"RedditClusteringP2P":56.03,"StackExchangeClustering":55.39,"StackExchangeClusteringP2P":33.57,"TwentyNewsgroupsClustering":40.2}
|
161 |
{"index":123,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.18,"ArxivClusteringP2P":44.53,"ArxivClusteringS2S":33.25,"BiorxivClusteringP2P":36.11,"BiorxivClusteringS2S":28.06,"MedrxivClusteringP2P":31.56,"MedrxivClusteringS2S":28.13,"RedditClustering":45.46,"RedditClusteringP2P":55.16,"StackExchangeClustering":54.51,"StackExchangeClusteringP2P":34.07,"TwentyNewsgroupsClustering":40.19}
|
162 |
{"index":68,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.16,"ArxivClusteringP2P":41.76,"ArxivClusteringS2S":31.63,"BiorxivClusteringP2P":36.01,"BiorxivClusteringS2S":28.77,"MedrxivClusteringP2P":31.27,"MedrxivClusteringS2S":28.97,"RedditClustering":47.39,"RedditClusteringP2P":58.38,"StackExchangeClustering":52.47,"StackExchangeClusteringP2P":33.63,"TwentyNewsgroupsClustering":40.52}
|
163 |
{"index":194,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":39.11,"ArxivClusteringP2P":44.52,"ArxivClusteringS2S":34.45,"BiorxivClusteringP2P":35.25,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":29.43,"MedrxivClusteringS2S":28.87,"RedditClustering":44.52,"RedditClusteringP2P":53.61,"StackExchangeClustering":57.11,"StackExchangeClusteringP2P":31.91,"TwentyNewsgroupsClustering":39.8}
|
all_data_tasks/2/default.jsonl
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{"index":6,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":89.25,"SprintDuplicateQuestions":94.53,"TwitterSemEval2015":86.32,"TwitterURLCorpus":86.9}
|
2 |
{"index":302,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Meta-Llama-3-8B-Instruct\">BinGSE-Meta-Llama-3-8B-Instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":88.84,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":82.39,"TwitterURLCorpus":87.6}
|
3 |
{"index":246,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.67,"SprintDuplicateQuestions":97.02,"TwitterSemEval2015":81.11,"TwitterURLCorpus":87.87}
|
4 |
-
{"index":
|
5 |
-
{"index":
|
6 |
{"index":185,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.42,"SprintDuplicateQuestions":95.86,"TwitterSemEval2015":81.62,"TwitterURLCorpus":87.79}
|
7 |
{"index":69,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.35,"SprintDuplicateQuestions":96.11,"TwitterSemEval2015":81.52,"TwitterURLCorpus":87.42}
|
8 |
{"index":258,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":88.27,"SprintDuplicateQuestions":96.52,"TwitterSemEval2015":81.35,"TwitterURLCorpus":86.94}
|
@@ -17,25 +17,25 @@
|
|
17 |
{"index":164,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":87.74,"SprintDuplicateQuestions":95.59,"TwitterSemEval2015":80.18,"TwitterURLCorpus":87.46}
|
18 |
{"index":1,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":87.61,"SprintDuplicateQuestions":96.26,"TwitterSemEval2015":79.04,"TwitterURLCorpus":87.53}
|
19 |
{"index":16,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":87.51,"SprintDuplicateQuestions":95.32,"TwitterSemEval2015":79.64,"TwitterURLCorpus":87.58}
|
20 |
-
{"index":
|
21 |
-
{"index":
|
22 |
{"index":113,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
23 |
-
{"index":
|
24 |
-
{"index":
|
25 |
{"index":0,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":87.29,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":78.25,"TwitterURLCorpus":87.12}
|
26 |
-
{"index":
|
27 |
{"index":125,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.25,"SprintDuplicateQuestions":97.24,"TwitterSemEval2015":78.17,"TwitterURLCorpus":86.33}
|
28 |
-
{"index":
|
29 |
-
{"index":
|
30 |
-
{"index":
|
31 |
-
{"index":
|
32 |
-
{"index":
|
33 |
-
{"index":
|
34 |
{"index":64,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.14,"SprintDuplicateQuestions":96.97,"TwitterSemEval2015":78.29,"TwitterURLCorpus":86.16}
|
35 |
{"index":178,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
36 |
-
{"index":
|
37 |
-
{"index":
|
38 |
-
{"index":
|
39 |
{"index":310,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.07,"SprintDuplicateQuestions":96.87,"TwitterSemEval2015":78.24,"TwitterURLCorpus":86.11}
|
40 |
{"index":245,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":86.91,"SprintDuplicateQuestions":95.94,"TwitterSemEval2015":78.73,"TwitterURLCorpus":86.05}
|
41 |
{"index":9,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.87,"SprintDuplicateQuestions":98.07,"TwitterSemEval2015":74.44,"TwitterURLCorpus":88.11}
|
@@ -45,8 +45,8 @@
|
|
45 |
{"index":176,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.62,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":77.99,"TwitterURLCorpus":86.93}
|
46 |
{"index":303,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Sheared-LLaMA\">BinGSE-Sheared-LLaMA<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.61,"SprintDuplicateQuestions":95.98,"TwitterSemEval2015":77.13,"TwitterURLCorpus":86.71}
|
47 |
{"index":8,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.57,"SprintDuplicateQuestions":96.01,"TwitterSemEval2015":76.87,"TwitterURLCorpus":86.84}
|
48 |
-
{"index":
|
49 |
-
{"index":
|
50 |
{"index":180,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.45,"SprintDuplicateQuestions":95.69,"TwitterSemEval2015":77.67,"TwitterURLCorpus":86.0}
|
51 |
{"index":50,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-max-instruct-v1\">KaLM-embedding-multilingual-max-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.37,"SprintDuplicateQuestions":95.96,"TwitterSemEval2015":76.09,"TwitterURLCorpus":87.06}
|
52 |
{"index":137,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.32,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.11}
|
@@ -61,19 +61,19 @@
|
|
61 |
{"index":63,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
62 |
{"index":184,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
63 |
{"index":183,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
64 |
-
{"index":
|
65 |
-
{"index":
|
66 |
{"index":27,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
67 |
{"index":35,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
68 |
{"index":17,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
|
69 |
-
{"index":
|
70 |
-
{"index":
|
71 |
{"index":334,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":85.72,"SprintDuplicateQuestions":92.25,"TwitterSemEval2015":77.13,"TwitterURLCorpus":87.78}
|
72 |
{"index":67,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
|
73 |
{"index":316,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.41,"SprintDuplicateQuestions":95.02,"TwitterSemEval2015":75.24,"TwitterURLCorpus":85.96}
|
74 |
{"index":197,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":85.4,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":73.81,"TwitterURLCorpus":86.78}
|
75 |
-
{"index":
|
76 |
-
{"index":
|
77 |
{"index":203,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
78 |
{"index":18,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
79 |
{"index":277,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
@@ -91,9 +91,9 @@
|
|
91 |
{"index":141,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.99,"SprintDuplicateQuestions":96.14,"TwitterSemEval2015":73.48,"TwitterURLCorpus":85.36}
|
92 |
{"index":285,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.97,"SprintDuplicateQuestions":89.02,"TwitterSemEval2015":79.75,"TwitterURLCorpus":86.14}
|
93 |
{"index":49,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"SprintDuplicateQuestions":91.24,"TwitterSemEval2015":77.21,"TwitterURLCorpus":86.45}
|
94 |
-
{"index":
|
95 |
-
{"index":
|
96 |
-
{"index":
|
97 |
{"index":332,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
98 |
{"index":200,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.8,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":72.32,"TwitterURLCorpus":85.98}
|
99 |
{"index":189,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.75,"SprintDuplicateQuestions":93.14,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
@@ -103,17 +103,17 @@
|
|
103 |
{"index":208,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.69,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":72.88,"TwitterURLCorpus":85.88}
|
104 |
{"index":140,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.68,"SprintDuplicateQuestions":95.79,"TwitterSemEval2015":72.95,"TwitterURLCorpus":85.3}
|
105 |
{"index":187,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.67,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":73.34,"TwitterURLCorpus":85.79}
|
106 |
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{"index":
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107 |
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{"index":
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{"index":
|
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{"index":109,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
110 |
{"index":241,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":92.91,"TwitterSemEval2015":74.3,"TwitterURLCorpus":86.57}
|
111 |
{"index":237,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":94.83,"TwitterSemEval2015":72.55,"TwitterURLCorpus":86.38}
|
112 |
{"index":298,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.57,"SprintDuplicateQuestions":95.71,"TwitterSemEval2015":72.47,"TwitterURLCorpus":85.52}
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113 |
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{"index":
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114 |
{"index":21,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q2_K-GGUF\">jina-embeddings-v2-base-es-Q2_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
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-
{"index":
|
116 |
-
{"index":
|
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{"index":19,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
118 |
{"index":252,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
119 |
{"index":145,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.48,"SprintDuplicateQuestions":97.32,"TwitterSemEval2015":70.29,"TwitterURLCorpus":85.83}
|
@@ -130,8 +130,8 @@
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130 |
{"index":276,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.85,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":72.23,"TwitterURLCorpus":84.77}
|
131 |
{"index":133,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.78,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":71.08,"TwitterURLCorpus":83.72}
|
132 |
{"index":238,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.67,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":69.68,"TwitterURLCorpus":85.41}
|
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-
{"index":
|
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-
{"index":
|
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{"index":70,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
136 |
{"index":318,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
137 |
{"index":188,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.57,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
|
@@ -145,8 +145,8 @@
|
|
145 |
{"index":271,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.87,"TwitterURLCorpus":85.11}
|
146 |
{"index":199,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
147 |
{"index":68,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.95,"SprintDuplicateQuestions":94.38,"TwitterSemEval2015":67.98,"TwitterURLCorpus":86.48}
|
148 |
-
{"index":
|
149 |
-
{"index":
|
150 |
{"index":123,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
151 |
{"index":191,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.73,"SprintDuplicateQuestions":92.42,"TwitterSemEval2015":70.75,"TwitterURLCorpus":85.03}
|
152 |
{"index":81,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
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|
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1 |
{"index":6,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":89.25,"SprintDuplicateQuestions":94.53,"TwitterSemEval2015":86.32,"TwitterURLCorpus":86.9}
|
2 |
{"index":302,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Meta-Llama-3-8B-Instruct\">BinGSE-Meta-Llama-3-8B-Instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":88.84,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":82.39,"TwitterURLCorpus":87.6}
|
3 |
{"index":246,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.67,"SprintDuplicateQuestions":97.02,"TwitterSemEval2015":81.11,"TwitterURLCorpus":87.87}
|
4 |
+
{"index":112,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.54,"SprintDuplicateQuestions":96.31,"TwitterSemEval2015":81.52,"TwitterURLCorpus":87.78}
|
5 |
+
{"index":151,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/compressa-ai\/Compressa-Embeddings\">Compressa-Embeddings<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.54,"SprintDuplicateQuestions":96.31,"TwitterSemEval2015":81.52,"TwitterURLCorpus":87.78}
|
6 |
{"index":185,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.42,"SprintDuplicateQuestions":95.86,"TwitterSemEval2015":81.62,"TwitterURLCorpus":87.79}
|
7 |
{"index":69,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.35,"SprintDuplicateQuestions":96.11,"TwitterSemEval2015":81.52,"TwitterURLCorpus":87.42}
|
8 |
{"index":258,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":88.27,"SprintDuplicateQuestions":96.52,"TwitterSemEval2015":81.35,"TwitterURLCorpus":86.94}
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17 |
{"index":164,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":87.74,"SprintDuplicateQuestions":95.59,"TwitterSemEval2015":80.18,"TwitterURLCorpus":87.46}
|
18 |
{"index":1,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":87.61,"SprintDuplicateQuestions":96.26,"TwitterSemEval2015":79.04,"TwitterURLCorpus":87.53}
|
19 |
{"index":16,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":87.51,"SprintDuplicateQuestions":95.32,"TwitterSemEval2015":79.64,"TwitterURLCorpus":87.58}
|
20 |
+
{"index":15,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.41,"SprintDuplicateQuestions":96.07,"TwitterSemEval2015":79.36,"TwitterURLCorpus":86.79}
|
21 |
+
{"index":212,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
22 |
{"index":113,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
23 |
+
{"index":207,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.34,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":79.93,"TwitterURLCorpus":87.5}
|
24 |
+
{"index":48,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":87.29,"SprintDuplicateQuestions":93.35,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.43}
|
25 |
{"index":0,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":87.29,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":78.25,"TwitterURLCorpus":87.12}
|
26 |
+
{"index":177,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.28,"SprintDuplicateQuestions":97.04,"TwitterSemEval2015":78.93,"TwitterURLCorpus":85.87}
|
27 |
{"index":125,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.25,"SprintDuplicateQuestions":97.24,"TwitterSemEval2015":78.17,"TwitterURLCorpus":86.33}
|
28 |
+
{"index":293,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/smcleod\/mxbai-embed-large-v1-Q8_0-GGUF\">mxbai-embed-large-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
29 |
+
{"index":227,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
30 |
+
{"index":294,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/stellarator\/mxbai-embed-large-v1-Q5_K_M-GGUF\">mxbai-embed-large-v1-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
31 |
+
{"index":166,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/elliotsayes\/mxbai-embed-large-v1-Q4_K_M-GGUF\">mxbai-embed-large-v1-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
32 |
+
{"index":30,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.16,"SprintDuplicateQuestions":93.0,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.4}
|
33 |
+
{"index":297,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.16,"SprintDuplicateQuestions":93.0,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.4}
|
34 |
{"index":64,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.14,"SprintDuplicateQuestions":96.97,"TwitterSemEval2015":78.29,"TwitterURLCorpus":86.16}
|
35 |
{"index":178,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
36 |
+
{"index":259,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
37 |
+
{"index":25,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
38 |
+
{"index":260,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
39 |
{"index":310,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.07,"SprintDuplicateQuestions":96.87,"TwitterSemEval2015":78.24,"TwitterURLCorpus":86.11}
|
40 |
{"index":245,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":86.91,"SprintDuplicateQuestions":95.94,"TwitterSemEval2015":78.73,"TwitterURLCorpus":86.05}
|
41 |
{"index":9,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.87,"SprintDuplicateQuestions":98.07,"TwitterSemEval2015":74.44,"TwitterURLCorpus":88.11}
|
|
|
45 |
{"index":176,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.62,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":77.99,"TwitterURLCorpus":86.93}
|
46 |
{"index":303,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Sheared-LLaMA\">BinGSE-Sheared-LLaMA<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.61,"SprintDuplicateQuestions":95.98,"TwitterSemEval2015":77.13,"TwitterURLCorpus":86.71}
|
47 |
{"index":8,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.57,"SprintDuplicateQuestions":96.01,"TwitterSemEval2015":76.87,"TwitterURLCorpus":86.84}
|
48 |
+
{"index":23,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
49 |
+
{"index":142,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
50 |
{"index":180,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.45,"SprintDuplicateQuestions":95.69,"TwitterSemEval2015":77.67,"TwitterURLCorpus":86.0}
|
51 |
{"index":50,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-max-instruct-v1\">KaLM-embedding-multilingual-max-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.37,"SprintDuplicateQuestions":95.96,"TwitterSemEval2015":76.09,"TwitterURLCorpus":87.06}
|
52 |
{"index":137,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.32,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.11}
|
|
|
61 |
{"index":63,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
62 |
{"index":184,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
63 |
{"index":183,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
64 |
+
{"index":226,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.89,"SprintDuplicateQuestions":96.05,"TwitterSemEval2015":76.08,"TwitterURLCorpus":85.54}
|
65 |
+
{"index":175,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.89,"SprintDuplicateQuestions":93.07,"TwitterSemEval2015":77.42,"TwitterURLCorpus":87.18}
|
66 |
{"index":27,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
67 |
{"index":35,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
68 |
{"index":17,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
|
69 |
+
{"index":182,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
|
70 |
+
{"index":165,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
|
71 |
{"index":334,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":85.72,"SprintDuplicateQuestions":92.25,"TwitterSemEval2015":77.13,"TwitterURLCorpus":87.78}
|
72 |
{"index":67,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
|
73 |
{"index":316,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.41,"SprintDuplicateQuestions":95.02,"TwitterSemEval2015":75.24,"TwitterURLCorpus":85.96}
|
74 |
{"index":197,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":85.4,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":73.81,"TwitterURLCorpus":86.78}
|
75 |
+
{"index":136,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/arkohut\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
76 |
+
{"index":313,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
77 |
{"index":203,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
78 |
{"index":18,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
79 |
{"index":277,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
|
|
91 |
{"index":141,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.99,"SprintDuplicateQuestions":96.14,"TwitterSemEval2015":73.48,"TwitterURLCorpus":85.36}
|
92 |
{"index":285,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.97,"SprintDuplicateQuestions":89.02,"TwitterSemEval2015":79.75,"TwitterURLCorpus":86.14}
|
93 |
{"index":49,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"SprintDuplicateQuestions":91.24,"TwitterSemEval2015":77.21,"TwitterURLCorpus":86.45}
|
94 |
+
{"index":28,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
95 |
+
{"index":54,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HowardC\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
96 |
+
{"index":314,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wangjinzzhong\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
97 |
{"index":332,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
98 |
{"index":200,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.8,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":72.32,"TwitterURLCorpus":85.98}
|
99 |
{"index":189,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.75,"SprintDuplicateQuestions":93.14,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
|
|
103 |
{"index":208,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.69,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":72.88,"TwitterURLCorpus":85.88}
|
104 |
{"index":140,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.68,"SprintDuplicateQuestions":95.79,"TwitterSemEval2015":72.95,"TwitterURLCorpus":85.3}
|
105 |
{"index":187,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.67,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":73.34,"TwitterURLCorpus":85.79}
|
106 |
+
{"index":243,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
107 |
+
{"index":322,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
108 |
+
{"index":127,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
109 |
{"index":109,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
110 |
{"index":241,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":92.91,"TwitterSemEval2015":74.3,"TwitterURLCorpus":86.57}
|
111 |
{"index":237,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":94.83,"TwitterSemEval2015":72.55,"TwitterURLCorpus":86.38}
|
112 |
{"index":298,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.57,"SprintDuplicateQuestions":95.71,"TwitterSemEval2015":72.47,"TwitterURLCorpus":85.52}
|
113 |
+
{"index":22,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q4_K_M-GGUF\">jina-embeddings-v2-base-es-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
114 |
{"index":21,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q2_K-GGUF\">jina-embeddings-v2-base-es-Q2_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
115 |
+
{"index":204,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
116 |
+
{"index":251,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
117 |
{"index":19,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
118 |
{"index":252,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
119 |
{"index":145,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.48,"SprintDuplicateQuestions":97.32,"TwitterSemEval2015":70.29,"TwitterURLCorpus":85.83}
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|
|
130 |
{"index":276,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.85,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":72.23,"TwitterURLCorpus":84.77}
|
131 |
{"index":133,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.78,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":71.08,"TwitterURLCorpus":83.72}
|
132 |
{"index":238,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.67,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":69.68,"TwitterURLCorpus":85.41}
|
133 |
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{"index":202,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
134 |
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{"index":147,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
135 |
{"index":70,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
136 |
{"index":318,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
137 |
{"index":188,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.57,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
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|
|
145 |
{"index":271,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.87,"TwitterURLCorpus":85.11}
|
146 |
{"index":199,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
147 |
{"index":68,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.95,"SprintDuplicateQuestions":94.38,"TwitterSemEval2015":67.98,"TwitterURLCorpus":86.48}
|
148 |
+
{"index":311,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.83,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":71.07,"TwitterURLCorpus":84.4}
|
149 |
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{"index":124,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.83,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.17,"TwitterURLCorpus":84.84}
|
150 |
{"index":123,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
151 |
{"index":191,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.73,"SprintDuplicateQuestions":92.42,"TwitterSemEval2015":70.75,"TwitterURLCorpus":85.03}
|
152 |
{"index":81,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
|
all_data_tasks/3/default.jsonl
CHANGED
@@ -2,30 +2,30 @@
|
|
2 |
{"index":163,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_1.5B_v5\">stella_en_1.5B_v5<\/a>","Model Size (Million Parameters)":1543,"Memory Usage (GB, fp32)":5.75,"Embedding Dimensions":8192,"Max Tokens":131072,"Average":61.21,"AskUbuntuDupQuestions":67.33,"MindSmallReranking":33.05,"SciDocsRR":89.2,"StackOverflowDupQuestions":55.25}
|
3 |
{"index":53,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.76,"AskUbuntuDupQuestions":67.23,"MindSmallReranking":33.36,"SciDocsRR":87.29,"StackOverflowDupQuestions":55.17}
|
4 |
{"index":246,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.65,"AskUbuntuDupQuestions":67.46,"MindSmallReranking":31.76,"SciDocsRR":87.59,"StackOverflowDupQuestions":55.79}
|
5 |
-
{"index":
|
6 |
-
{"index":
|
7 |
{"index":245,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.54,"AskUbuntuDupQuestions":67.5,"MindSmallReranking":30.82,"SciDocsRR":87.26,"StackOverflowDupQuestions":56.58}
|
8 |
{"index":297,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.49,"AskUbuntuDupQuestions":67.34,"MindSmallReranking":31.81,"SciDocsRR":86.84,"StackOverflowDupQuestions":55.96}
|
9 |
{"index":30,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.49,"AskUbuntuDupQuestions":67.34,"MindSmallReranking":31.81,"SciDocsRR":86.84,"StackOverflowDupQuestions":55.96}
|
10 |
{"index":48,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":60.48,"AskUbuntuDupQuestions":67.37,"MindSmallReranking":31.81,"SciDocsRR":86.82,"StackOverflowDupQuestions":55.94}
|
11 |
{"index":258,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.46,"AskUbuntuDupQuestions":66.73,"MindSmallReranking":32.51,"SciDocsRR":87.03,"StackOverflowDupQuestions":55.55}
|
12 |
{"index":69,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.29,"AskUbuntuDupQuestions":66.82,"MindSmallReranking":32.06,"SciDocsRR":86.4,"StackOverflowDupQuestions":55.89}
|
13 |
-
{"index":
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14 |
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{"index":
|
15 |
{"index":164,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":60.16,"AskUbuntuDupQuestions":66.15,"MindSmallReranking":33.05,"SciDocsRR":88.44,"StackOverflowDupQuestions":52.99}
|
16 |
{"index":111,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.14,"AskUbuntuDupQuestions":66.71,"MindSmallReranking":31.26,"SciDocsRR":87.29,"StackOverflowDupQuestions":55.32}
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17 |
{"index":15,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.13,"AskUbuntuDupQuestions":66.0,"MindSmallReranking":32.71,"SciDocsRR":87.89,"StackOverflowDupQuestions":53.93}
|
18 |
{"index":227,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.11,"AskUbuntuDupQuestions":65.16,"MindSmallReranking":32.54,"SciDocsRR":87.53,"StackOverflowDupQuestions":55.22}
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{"index":
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20 |
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{"index":
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21 |
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{"index":
|
22 |
{"index":6,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":60.09,"AskUbuntuDupQuestions":64.92,"MindSmallReranking":30.97,"SciDocsRR":89.34,"StackOverflowDupQuestions":55.11}
|
23 |
{"index":139,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.05,"AskUbuntuDupQuestions":64.7,"MindSmallReranking":32.82,"SciDocsRR":87.8,"StackOverflowDupQuestions":54.88}
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24 |
-
{"index":
|
25 |
-
{"index":
|
26 |
{"index":260,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
27 |
-
{"index":
|
28 |
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{"index":
|
29 |
{"index":259,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
30 |
{"index":310,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.0,"AskUbuntuDupQuestions":64.42,"MindSmallReranking":32.78,"SciDocsRR":87.61,"StackOverflowDupQuestions":55.19}
|
31 |
{"index":16,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":59.98,"AskUbuntuDupQuestions":64.55,"MindSmallReranking":33.94,"SciDocsRR":86.52,"StackOverflowDupQuestions":54.91}
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@@ -48,25 +48,25 @@
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|
48 |
{"index":226,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
|
49 |
{"index":190,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":58.92,"AskUbuntuDupQuestions":64.41,"MindSmallReranking":33.07,"SciDocsRR":85.75,"StackOverflowDupQuestions":52.45}
|
50 |
{"index":1,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":58.9,"AskUbuntuDupQuestions":64.4,"MindSmallReranking":33.07,"SciDocsRR":83.59,"StackOverflowDupQuestions":54.56}
|
51 |
-
{"index":
|
52 |
-
{"index":
|
53 |
{"index":180,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.78,"AskUbuntuDupQuestions":62.72,"MindSmallReranking":31.91,"SciDocsRR":86.66,"StackOverflowDupQuestions":53.81}
|
54 |
{"index":298,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.61,"AskUbuntuDupQuestions":61.8,"MindSmallReranking":32.54,"SciDocsRR":87.08,"StackOverflowDupQuestions":53.01}
|
55 |
{"index":140,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.56,"AskUbuntuDupQuestions":62.33,"MindSmallReranking":32.36,"SciDocsRR":86.48,"StackOverflowDupQuestions":53.06}
|
56 |
-
{"index":
|
57 |
-
{"index":
|
58 |
{"index":269,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.44,"AskUbuntuDupQuestions":64.06,"MindSmallReranking":31.02,"SciDocsRR":87.2,"StackOverflowDupQuestions":51.47}
|
59 |
{"index":77,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":58.42,"AskUbuntuDupQuestions":63.98,"MindSmallReranking":31.5,"SciDocsRR":83.8,"StackOverflowDupQuestions":54.41}
|
60 |
{"index":129,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/abhinand\/MedEmbed-small-v0.1\">MedEmbed-small-v0.1<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.38,"AskUbuntuDupQuestions":62.69,"MindSmallReranking":31.72,"SciDocsRR":85.79,"StackOverflowDupQuestions":53.32}
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61 |
-
{"index":
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62 |
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{"index":
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63 |
-
{"index":
|
64 |
{"index":141,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.3,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.92,"SciDocsRR":86.18,"StackOverflowDupQuestions":52.96}
|
65 |
{"index":9,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":58.24,"AskUbuntuDupQuestions":63.24,"MindSmallReranking":31.48,"SciDocsRR":84.68,"StackOverflowDupQuestions":53.56}
|
66 |
{"index":207,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":58.14,"AskUbuntuDupQuestions":64.13,"MindSmallReranking":32.92,"SciDocsRR":83.68,"StackOverflowDupQuestions":51.84}
|
67 |
{"index":143,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/benayad7\/concat-e5-small-bge-small-01\">concat-e5-small-bge-small-01<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.14,"AskUbuntuDupQuestions":61.81,"MindSmallReranking":31.3,"SciDocsRR":85.9,"StackOverflowDupQuestions":53.56}
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68 |
-
{"index":
|
69 |
-
{"index":
|
70 |
{"index":270,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.77}
|
71 |
{"index":219,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.76}
|
72 |
{"index":35,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.01,"AskUbuntuDupQuestions":61.7,"MindSmallReranking":32.67,"SciDocsRR":85.2,"StackOverflowDupQuestions":52.48}
|
@@ -107,14 +107,14 @@
|
|
107 |
{"index":189,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":55.96,"AskUbuntuDupQuestions":59.24,"MindSmallReranking":30.24,"SciDocsRR":84.22,"StackOverflowDupQuestions":50.14}
|
108 |
{"index":119,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.94,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":30.21,"SciDocsRR":79.74,"StackOverflowDupQuestions":52.2}
|
109 |
{"index":197,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":55.91,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":31.22,"SciDocsRR":80.27,"StackOverflowDupQuestions":50.55}
|
110 |
-
{"index":
|
111 |
-
{"index":
|
112 |
{"index":52,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":55.86,"AskUbuntuDupQuestions":60.01,"MindSmallReranking":32.18,"SciDocsRR":81.89,"StackOverflowDupQuestions":49.34}
|
113 |
{"index":199,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.84,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.56,"SciDocsRR":79.31,"StackOverflowDupQuestions":50.11}
|
114 |
{"index":243,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
115 |
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{"index":
|
116 |
{"index":127,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
117 |
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{"index":
|
118 |
{"index":124,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
|
119 |
{"index":181,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.7,"AskUbuntuDupQuestions":59.66,"MindSmallReranking":30.07,"SciDocsRR":82.9,"StackOverflowDupQuestions":50.15}
|
120 |
{"index":236,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
|
@@ -145,8 +145,8 @@
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|
145 |
{"index":195,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.9,"AskUbuntuDupQuestions":59.92,"MindSmallReranking":30.97,"SciDocsRR":78.62,"StackOverflowDupQuestions":50.07}
|
146 |
{"index":286,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.71,"AskUbuntuDupQuestions":62.86,"MindSmallReranking":29.77,"SciDocsRR":75.16,"StackOverflowDupQuestions":51.05}
|
147 |
{"index":95,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.67,"AskUbuntuDupQuestions":59.63,"MindSmallReranking":31.72,"SciDocsRR":77.72,"StackOverflowDupQuestions":49.61}
|
148 |
-
{"index":
|
149 |
-
{"index":
|
150 |
{"index":70,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
151 |
{"index":157,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":54.63,"AskUbuntuDupQuestions":61.05,"MindSmallReranking":30.55,"SciDocsRR":79.83,"StackOverflowDupQuestions":47.1}
|
152 |
{"index":161,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.58,"AskUbuntuDupQuestions":63.09,"MindSmallReranking":30.89,"SciDocsRR":74.28,"StackOverflowDupQuestions":50.06}
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2 |
{"index":163,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_1.5B_v5\">stella_en_1.5B_v5<\/a>","Model Size (Million Parameters)":1543,"Memory Usage (GB, fp32)":5.75,"Embedding Dimensions":8192,"Max Tokens":131072,"Average":61.21,"AskUbuntuDupQuestions":67.33,"MindSmallReranking":33.05,"SciDocsRR":89.2,"StackOverflowDupQuestions":55.25}
|
3 |
{"index":53,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.76,"AskUbuntuDupQuestions":67.23,"MindSmallReranking":33.36,"SciDocsRR":87.29,"StackOverflowDupQuestions":55.17}
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4 |
{"index":246,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.65,"AskUbuntuDupQuestions":67.46,"MindSmallReranking":31.76,"SciDocsRR":87.59,"StackOverflowDupQuestions":55.79}
|
5 |
+
{"index":112,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.64,"AskUbuntuDupQuestions":67.58,"MindSmallReranking":32.72,"SciDocsRR":86.58,"StackOverflowDupQuestions":55.68}
|
6 |
+
{"index":151,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/compressa-ai\/Compressa-Embeddings\">Compressa-Embeddings<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.64,"AskUbuntuDupQuestions":67.58,"MindSmallReranking":32.72,"SciDocsRR":86.58,"StackOverflowDupQuestions":55.68}
|
7 |
{"index":245,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.54,"AskUbuntuDupQuestions":67.5,"MindSmallReranking":30.82,"SciDocsRR":87.26,"StackOverflowDupQuestions":56.58}
|
8 |
{"index":297,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.49,"AskUbuntuDupQuestions":67.34,"MindSmallReranking":31.81,"SciDocsRR":86.84,"StackOverflowDupQuestions":55.96}
|
9 |
{"index":30,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.49,"AskUbuntuDupQuestions":67.34,"MindSmallReranking":31.81,"SciDocsRR":86.84,"StackOverflowDupQuestions":55.96}
|
10 |
{"index":48,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":60.48,"AskUbuntuDupQuestions":67.37,"MindSmallReranking":31.81,"SciDocsRR":86.82,"StackOverflowDupQuestions":55.94}
|
11 |
{"index":258,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.46,"AskUbuntuDupQuestions":66.73,"MindSmallReranking":32.51,"SciDocsRR":87.03,"StackOverflowDupQuestions":55.55}
|
12 |
{"index":69,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.29,"AskUbuntuDupQuestions":66.82,"MindSmallReranking":32.06,"SciDocsRR":86.4,"StackOverflowDupQuestions":55.89}
|
13 |
+
{"index":177,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.25,"AskUbuntuDupQuestions":63.5,"MindSmallReranking":34.12,"SciDocsRR":86.98,"StackOverflowDupQuestions":56.39}
|
14 |
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{"index":185,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.21,"AskUbuntuDupQuestions":66.98,"MindSmallReranking":32.59,"SciDocsRR":86.34,"StackOverflowDupQuestions":54.93}
|
15 |
{"index":164,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":60.16,"AskUbuntuDupQuestions":66.15,"MindSmallReranking":33.05,"SciDocsRR":88.44,"StackOverflowDupQuestions":52.99}
|
16 |
{"index":111,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.14,"AskUbuntuDupQuestions":66.71,"MindSmallReranking":31.26,"SciDocsRR":87.29,"StackOverflowDupQuestions":55.32}
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17 |
{"index":15,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.13,"AskUbuntuDupQuestions":66.0,"MindSmallReranking":32.71,"SciDocsRR":87.89,"StackOverflowDupQuestions":53.93}
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18 |
{"index":227,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.11,"AskUbuntuDupQuestions":65.16,"MindSmallReranking":32.54,"SciDocsRR":87.53,"StackOverflowDupQuestions":55.22}
|
19 |
+
{"index":166,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/elliotsayes\/mxbai-embed-large-v1-Q4_K_M-GGUF\">mxbai-embed-large-v1-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.11,"AskUbuntuDupQuestions":65.16,"MindSmallReranking":32.54,"SciDocsRR":87.53,"StackOverflowDupQuestions":55.22}
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20 |
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{"index":293,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/smcleod\/mxbai-embed-large-v1-Q8_0-GGUF\">mxbai-embed-large-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.11,"AskUbuntuDupQuestions":65.16,"MindSmallReranking":32.54,"SciDocsRR":87.53,"StackOverflowDupQuestions":55.22}
|
21 |
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{"index":294,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/stellarator\/mxbai-embed-large-v1-Q5_K_M-GGUF\">mxbai-embed-large-v1-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.11,"AskUbuntuDupQuestions":65.16,"MindSmallReranking":32.54,"SciDocsRR":87.53,"StackOverflowDupQuestions":55.22}
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22 |
{"index":6,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":60.09,"AskUbuntuDupQuestions":64.92,"MindSmallReranking":30.97,"SciDocsRR":89.34,"StackOverflowDupQuestions":55.11}
|
23 |
{"index":139,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.05,"AskUbuntuDupQuestions":64.7,"MindSmallReranking":32.82,"SciDocsRR":87.8,"StackOverflowDupQuestions":54.88}
|
24 |
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{"index":212,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
|
25 |
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{"index":113,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
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26 |
{"index":260,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
27 |
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{"index":178,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
28 |
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{"index":25,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
29 |
{"index":259,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
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30 |
{"index":310,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.0,"AskUbuntuDupQuestions":64.42,"MindSmallReranking":32.78,"SciDocsRR":87.61,"StackOverflowDupQuestions":55.19}
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31 |
{"index":16,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":59.98,"AskUbuntuDupQuestions":64.55,"MindSmallReranking":33.94,"SciDocsRR":86.52,"StackOverflowDupQuestions":54.91}
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48 |
{"index":226,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
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49 |
{"index":190,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":58.92,"AskUbuntuDupQuestions":64.41,"MindSmallReranking":33.07,"SciDocsRR":85.75,"StackOverflowDupQuestions":52.45}
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50 |
{"index":1,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":58.9,"AskUbuntuDupQuestions":64.4,"MindSmallReranking":33.07,"SciDocsRR":83.59,"StackOverflowDupQuestions":54.56}
|
51 |
+
{"index":23,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
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52 |
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{"index":142,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
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53 |
{"index":180,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.78,"AskUbuntuDupQuestions":62.72,"MindSmallReranking":31.91,"SciDocsRR":86.66,"StackOverflowDupQuestions":53.81}
|
54 |
{"index":298,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.61,"AskUbuntuDupQuestions":61.8,"MindSmallReranking":32.54,"SciDocsRR":87.08,"StackOverflowDupQuestions":53.01}
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55 |
{"index":140,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.56,"AskUbuntuDupQuestions":62.33,"MindSmallReranking":32.36,"SciDocsRR":86.48,"StackOverflowDupQuestions":53.06}
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56 |
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{"index":19,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":58.5,"AskUbuntuDupQuestions":63.13,"MindSmallReranking":31.46,"SciDocsRR":86.93,"StackOverflowDupQuestions":52.48}
|
57 |
+
{"index":252,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":58.5,"AskUbuntuDupQuestions":63.13,"MindSmallReranking":31.46,"SciDocsRR":86.93,"StackOverflowDupQuestions":52.48}
|
58 |
{"index":269,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.44,"AskUbuntuDupQuestions":64.06,"MindSmallReranking":31.02,"SciDocsRR":87.2,"StackOverflowDupQuestions":51.47}
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59 |
{"index":77,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":58.42,"AskUbuntuDupQuestions":63.98,"MindSmallReranking":31.5,"SciDocsRR":83.8,"StackOverflowDupQuestions":54.41}
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60 |
{"index":129,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/abhinand\/MedEmbed-small-v0.1\">MedEmbed-small-v0.1<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.38,"AskUbuntuDupQuestions":62.69,"MindSmallReranking":31.72,"SciDocsRR":85.79,"StackOverflowDupQuestions":53.32}
|
61 |
+
{"index":54,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HowardC\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.36,"AskUbuntuDupQuestions":62.59,"MindSmallReranking":31.29,"SciDocsRR":85.94,"StackOverflowDupQuestions":53.64}
|
62 |
+
{"index":314,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wangjinzzhong\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.36,"AskUbuntuDupQuestions":62.59,"MindSmallReranking":31.29,"SciDocsRR":85.94,"StackOverflowDupQuestions":53.64}
|
63 |
+
{"index":28,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.36,"AskUbuntuDupQuestions":62.59,"MindSmallReranking":31.29,"SciDocsRR":85.94,"StackOverflowDupQuestions":53.64}
|
64 |
{"index":141,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.3,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.92,"SciDocsRR":86.18,"StackOverflowDupQuestions":52.96}
|
65 |
{"index":9,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":58.24,"AskUbuntuDupQuestions":63.24,"MindSmallReranking":31.48,"SciDocsRR":84.68,"StackOverflowDupQuestions":53.56}
|
66 |
{"index":207,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":58.14,"AskUbuntuDupQuestions":64.13,"MindSmallReranking":32.92,"SciDocsRR":83.68,"StackOverflowDupQuestions":51.84}
|
67 |
{"index":143,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/benayad7\/concat-e5-small-bge-small-01\">concat-e5-small-bge-small-01<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.14,"AskUbuntuDupQuestions":61.81,"MindSmallReranking":31.3,"SciDocsRR":85.9,"StackOverflowDupQuestions":53.56}
|
68 |
+
{"index":206,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":58.13,"AskUbuntuDupQuestions":65.04,"MindSmallReranking":30.83,"SciDocsRR":84.88,"StackOverflowDupQuestions":51.77}
|
69 |
+
{"index":179,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.13,"AskUbuntuDupQuestions":65.04,"MindSmallReranking":30.83,"SciDocsRR":84.88,"StackOverflowDupQuestions":51.77}
|
70 |
{"index":270,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.77}
|
71 |
{"index":219,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.76}
|
72 |
{"index":35,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.01,"AskUbuntuDupQuestions":61.7,"MindSmallReranking":32.67,"SciDocsRR":85.2,"StackOverflowDupQuestions":52.48}
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|
107 |
{"index":189,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":55.96,"AskUbuntuDupQuestions":59.24,"MindSmallReranking":30.24,"SciDocsRR":84.22,"StackOverflowDupQuestions":50.14}
|
108 |
{"index":119,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.94,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":30.21,"SciDocsRR":79.74,"StackOverflowDupQuestions":52.2}
|
109 |
{"index":197,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":55.91,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":31.22,"SciDocsRR":80.27,"StackOverflowDupQuestions":50.55}
|
110 |
+
{"index":182,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.91,"AskUbuntuDupQuestions":58.98,"MindSmallReranking":31.29,"SciDocsRR":83.02,"StackOverflowDupQuestions":50.34}
|
111 |
+
{"index":165,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":55.91,"AskUbuntuDupQuestions":58.98,"MindSmallReranking":31.29,"SciDocsRR":83.02,"StackOverflowDupQuestions":50.34}
|
112 |
{"index":52,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":55.86,"AskUbuntuDupQuestions":60.01,"MindSmallReranking":32.18,"SciDocsRR":81.89,"StackOverflowDupQuestions":49.34}
|
113 |
{"index":199,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.84,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.56,"SciDocsRR":79.31,"StackOverflowDupQuestions":50.11}
|
114 |
{"index":243,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
115 |
+
{"index":322,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
116 |
{"index":127,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
117 |
+
{"index":109,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
118 |
{"index":124,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
|
119 |
{"index":181,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.7,"AskUbuntuDupQuestions":59.66,"MindSmallReranking":30.07,"SciDocsRR":82.9,"StackOverflowDupQuestions":50.15}
|
120 |
{"index":236,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
|
|
|
145 |
{"index":195,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.9,"AskUbuntuDupQuestions":59.92,"MindSmallReranking":30.97,"SciDocsRR":78.62,"StackOverflowDupQuestions":50.07}
|
146 |
{"index":286,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.71,"AskUbuntuDupQuestions":62.86,"MindSmallReranking":29.77,"SciDocsRR":75.16,"StackOverflowDupQuestions":51.05}
|
147 |
{"index":95,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.67,"AskUbuntuDupQuestions":59.63,"MindSmallReranking":31.72,"SciDocsRR":77.72,"StackOverflowDupQuestions":49.61}
|
148 |
+
{"index":202,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
149 |
+
{"index":147,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
150 |
{"index":70,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
151 |
{"index":157,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":54.63,"AskUbuntuDupQuestions":61.05,"MindSmallReranking":30.55,"SciDocsRR":79.83,"StackOverflowDupQuestions":47.1}
|
152 |
{"index":161,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.58,"AskUbuntuDupQuestions":63.09,"MindSmallReranking":30.89,"SciDocsRR":74.28,"StackOverflowDupQuestions":50.06}
|
all_data_tasks/4/default.jsonl
CHANGED
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See raw diff
|
|
all_data_tasks/40/default.jsonl
CHANGED
@@ -189,7 +189,7 @@
|
|
189 |
{"index":163,"Rank":189,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.43}
|
190 |
{"index":164,"Rank":190,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.88}
|
191 |
{"index":165,"Rank":191,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.56}
|
192 |
-
{"index":166,"Rank":192,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.
|
193 |
{"index":167,"Rank":193,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.52}
|
194 |
{"index":168,"Rank":194,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":87.96,"STS17 (en-tr)":"","STS17 (es-en)":87.26,"STS17 (es-es)":88.78,"STS17 (fr-en)":87.56,"STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":61.61,"STS22 (de-en)":60.89,"STS22 (de-fr)":58.26,"STS22 (de-pl)":56.82,"STS22 (es)":72.21,"STS22 (es-en)":78.46,"STS22 (es-it)":"","STS22 (fr)":83.29,"STS22 (fr-pl)":84.52,"STS22 (it)":"","STS22 (pl)":45.14,"STS22 (pl-en)":76.18,"STS22 (ru)":65.09,"STS22 (tr)":"","STS22 (zh-en)":73.4,"STSBenchmark":89.44}
|
195 |
{"index":169,"Rank":195,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.45}
|
|
|
189 |
{"index":163,"Rank":189,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.43}
|
190 |
{"index":164,"Rank":190,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.88}
|
191 |
{"index":165,"Rank":191,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.56}
|
192 |
+
{"index":166,"Rank":192,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.47}
|
193 |
{"index":167,"Rank":193,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.52}
|
194 |
{"index":168,"Rank":194,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":87.96,"STS17 (en-tr)":"","STS17 (es-en)":87.26,"STS17 (es-es)":88.78,"STS17 (fr-en)":87.56,"STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":61.61,"STS22 (de-en)":60.89,"STS22 (de-fr)":58.26,"STS22 (de-pl)":56.82,"STS22 (es)":72.21,"STS22 (es-en)":78.46,"STS22 (es-it)":"","STS22 (fr)":83.29,"STS22 (fr-pl)":84.52,"STS22 (it)":"","STS22 (pl)":45.14,"STS22 (pl-en)":76.18,"STS22 (ru)":65.09,"STS22 (tr)":"","STS22 (zh-en)":73.4,"STSBenchmark":89.44}
|
195 |
{"index":169,"Rank":195,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.45}
|
all_data_tasks/5/default.jsonl
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{"index":67,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":86.02,"BIOSSES":87.86,"SICK-R":81.01,"STS12":85.52,"STS13":89.37,"STS14":91.61,"STS15":92.02,"STS16":86.29,"STS17 (en-en)":88.71,"STS22 (en)":68.58,"STSBenchmark":89.28}
|
2 |
-
{"index":
|
3 |
-
{"index":
|
4 |
{"index":9,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":85.79,"BIOSSES":89.7,"SICK-R":78.44,"STS12":86.46,"STS13":87.76,"STS14":86.6,"STS15":90.1,"STS16":86.39,"STS17 (en-en)":86.98,"STS22 (en)":76.89,"STSBenchmark":88.56}
|
5 |
{"index":53,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.48,"BIOSSES":87.14,"SICK-R":82.46,"STS12":80.15,"STS13":89.94,"STS14":86.24,"STS15":91.2,"STS16":88.19,"STS17 (en-en)":91.93,"STS22 (en)":68.32,"STSBenchmark":89.21}
|
6 |
{"index":302,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Meta-Llama-3-8B-Instruct\">BinGSE-Meta-Llama-3-8B-Instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.31,"BIOSSES":86.94,"SICK-R":83.73,"STS12":81.39,"STS13":87.96,"STS14":85.58,"STS15":89.78,"STS16":87.89,"STS17 (en-en)":92.02,"STS22 (en)":69.01,"STSBenchmark":88.83}
|
7 |
{"index":1,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":85.07,"BIOSSES":89.46,"SICK-R":81.93,"STS12":77.59,"STS13":90.36,"STS14":85.25,"STS15":89.66,"STS16":87.34,"STS17 (en-en)":92.06,"STS22 (en)":68.02,"STSBenchmark":88.99}
|
8 |
-
{"index":
|
9 |
-
{"index":
|
10 |
{"index":310,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.04,"BIOSSES":89.15,"SICK-R":82.83,"STS12":78.65,"STS13":90.0,"STS14":84.97,"STS15":89.81,"STS16":86.71,"STS17 (en-en)":89.8,"STS22 (en)":69.67,"STSBenchmark":88.77}
|
11 |
{"index":190,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.03,"BIOSSES":87.46,"SICK-R":81.73,"STS12":82.53,"STS13":88.05,"STS14":84.83,"STS15":91.02,"STS16":87.32,"STS17 (en-en)":90.33,"STS22 (en)":68.67,"STSBenchmark":88.39}
|
12 |
{"index":294,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/stellarator\/mxbai-embed-large-v1-Q5_K_M-GGUF\">mxbai-embed-large-v1-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.0,"BIOSSES":88.41,"SICK-R":82.92,"STS12":78.76,"STS13":90.35,"STS14":85.46,"STS15":89.62,"STS16":86.58,"STS17 (en-en)":89.5,"STS22 (en)":69.34,"STSBenchmark":89.1}
|
@@ -31,28 +31,28 @@
|
|
31 |
{"index":77,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.09,"BIOSSES":85.24,"SICK-R":83.7,"STS12":78.8,"STS13":86.37,"STS14":84.04,"STS15":88.99,"STS16":87.22,"STS17 (en-en)":90.19,"STS22 (en)":67.68,"STSBenchmark":88.65}
|
32 |
{"index":27,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":83.88,"BIOSSES":85.74,"SICK-R":82.66,"STS12":77.71,"STS13":87.45,"STS14":83.48,"STS15":87.63,"STS16":86.7,"STS17 (en-en)":91.18,"STS22 (en)":69.02,"STSBenchmark":87.25}
|
33 |
{"index":198,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.85,"BIOSSES":86.75,"SICK-R":82.33,"STS12":77.61,"STS13":87.95,"STS14":83.85,"STS15":88.47,"STS16":86.46,"STS17 (en-en)":88.7,"STS22 (en)":68.02,"STSBenchmark":88.33}
|
34 |
-
{"index":
|
35 |
-
{"index":
|
36 |
{"index":75,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":83.58,"BIOSSES":84.92,"SICK-R":83.94,"STS12":79.27,"STS13":84.83,"STS14":82.94,"STS15":88.09,"STS16":86.54,"STS17 (en-en)":89.58,"STS22 (en)":67.67,"STSBenchmark":88.05}
|
37 |
{"index":79,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":83.58,"BIOSSES":85.88,"SICK-R":82.25,"STS12":78.28,"STS13":85.52,"STS14":82.49,"STS15":88.76,"STS16":87.11,"STS17 (en-en)":90.1,"STS22 (en)":68.25,"STSBenchmark":87.16}
|
38 |
{"index":137,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.51,"BIOSSES":87.95,"SICK-R":81.29,"STS12":76.16,"STS13":87.85,"STS14":83.39,"STS15":89.43,"STS16":85.35,"STS17 (en-en)":88.59,"STS22 (en)":67.81,"STSBenchmark":87.32}
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39 |
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{"index":
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40 |
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{"index":
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41 |
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{"index":
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42 |
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{"index":
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43 |
{"index":30,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.35,"BIOSSES":86.35,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.13,"STS22 (en)":68.63,"STSBenchmark":85.64}
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44 |
{"index":297,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.35,"BIOSSES":86.35,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.13,"STS22 (en)":68.63,"STSBenchmark":85.64}
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45 |
{"index":48,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":83.35,"BIOSSES":86.32,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.14,"STS22 (en)":68.63,"STSBenchmark":85.64}
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46 |
{"index":299,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.35,"BIOSSES":88.65,"SICK-R":79.81,"STS12":76.81,"STS13":88.11,"STS14":82.66,"STS15":88.93,"STS16":84.25,"STS17 (en-en)":88.47,"STS22 (en)":69.71,"STSBenchmark":86.07}
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47 |
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{"index":
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48 |
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{"index":
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49 |
{"index":49,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":83.26,"BIOSSES":87.34,"SICK-R":80.56,"STS12":73.69,"STS13":85.82,"STS14":82.05,"STS15":88.8,"STS16":86.2,"STS17 (en-en)":91.46,"STS22 (en)":69.21,"STSBenchmark":87.43}
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50 |
{"index":37,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":83.15,"BIOSSES":85.01,"SICK-R":82.18,"STS12":77.62,"STS13":85.16,"STS14":80.02,"STS15":88.92,"STS16":86.92,"STS17 (en-en)":90.09,"STS22 (en)":66.81,"STSBenchmark":88.79}
|
51 |
{"index":175,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.15,"BIOSSES":84.39,"SICK-R":81.27,"STS12":76.28,"STS13":88.18,"STS14":81.92,"STS15":89.01,"STS16":85.49,"STS17 (en-en)":90.3,"STS22 (en)":67.74,"STSBenchmark":86.88}
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52 |
{"index":178,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
53 |
{"index":260,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
54 |
-
{"index":
|
55 |
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{"index":
|
56 |
{"index":303,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Sheared-LLaMA\">BinGSE-Sheared-LLaMA<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.1,"BIOSSES":83.85,"SICK-R":82.5,"STS12":77.04,"STS13":84.56,"STS14":82.12,"STS15":88.14,"STS16":86.38,"STS17 (en-en)":91.49,"STS22 (en)":68.45,"STSBenchmark":86.51}
|
57 |
{"index":176,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.06,"BIOSSES":84.15,"SICK-R":81.7,"STS12":75.32,"STS13":87.44,"STS14":81.87,"STS15":88.94,"STS16":85.38,"STS17 (en-en)":90.54,"STS22 (en)":68.65,"STSBenchmark":86.56}
|
58 |
{"index":17,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":83.04,"BIOSSES":81.37,"SICK-R":79.28,"STS12":79.55,"STS13":88.83,"STS14":83.87,"STS15":88.54,"STS16":86.49,"STS17 (en-en)":88.73,"STS22 (en)":66.88,"STSBenchmark":86.85}
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@@ -69,16 +69,16 @@
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|
69 |
{"index":16,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.73,"BIOSSES":82.11,"SICK-R":80.49,"STS12":77.25,"STS13":87.79,"STS14":82.91,"STS15":88.45,"STS16":85.45,"STS17 (en-en)":90.33,"STS22 (en)":66.1,"STSBenchmark":86.38}
|
70 |
{"index":287,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.63,"BIOSSES":80.43,"SICK-R":80.47,"STS12":78.85,"STS13":88.94,"STS14":84.86,"STS15":89.32,"STS16":84.67,"STS17 (en-en)":89.46,"STS22 (en)":65.33,"STSBenchmark":84.01}
|
71 |
{"index":35,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.62,"BIOSSES":83.5,"SICK-R":81.27,"STS12":74.37,"STS13":85.2,"STS14":80.98,"STS15":89.23,"STS16":86.32,"STS17 (en-en)":90.34,"STS22 (en)":66.42,"STSBenchmark":88.55}
|
72 |
-
{"index":
|
73 |
-
{"index":
|
74 |
{"index":202,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
75 |
{"index":207,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.56,"BIOSSES":86.54,"SICK-R":83.23,"STS12":76.13,"STS13":83.19,"STS14":80.6,"STS15":87.16,"STS16":85.16,"STS17 (en-en)":90.88,"STS22 (en)":67.04,"STSBenchmark":85.67}
|
76 |
{"index":233,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
|
77 |
{"index":15,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
|
78 |
{"index":52,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":82.42,"BIOSSES":86.24,"SICK-R":79.93,"STS12":76.67,"STS13":84.87,"STS14":80.11,"STS15":88.7,"STS16":84.62,"STS17 (en-en)":87.94,"STS22 (en)":69.0,"STSBenchmark":86.07}
|
79 |
{"index":51,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":82.4,"BIOSSES":86.33,"SICK-R":79.63,"STS12":81.5,"STS13":84.49,"STS14":80.06,"STS15":86.54,"STS16":85.41,"STS17 (en-en)":86.4,"STS22 (en)":69.37,"STSBenchmark":84.3}
|
80 |
-
{"index":
|
81 |
-
{"index":
|
82 |
{"index":195,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":82.37,"BIOSSES":84.82,"SICK-R":80.85,"STS12":76.1,"STS13":85.49,"STS14":80.44,"STS15":87.75,"STS16":85.42,"STS17 (en-en)":89.95,"STS22 (en)":65.13,"STSBenchmark":87.71}
|
83 |
{"index":298,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.3,"BIOSSES":87.64,"SICK-R":78.86,"STS12":75.71,"STS13":85.73,"STS14":81.51,"STS15":88.81,"STS16":83.82,"STS17 (en-en)":87.9,"STS22 (en)":67.33,"STSBenchmark":85.73}
|
84 |
{"index":174,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.29,"BIOSSES":82.31,"SICK-R":80.26,"STS12":77.02,"STS13":86.58,"STS14":81.32,"STS15":88.19,"STS16":84.88,"STS17 (en-en)":89.46,"STS22 (en)":66.45,"STSBenchmark":86.43}
|
@@ -87,14 +87,14 @@
|
|
87 |
{"index":300,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"BIOSSES":88.17,"SICK-R":77.93,"STS12":75.12,"STS13":85.09,"STS14":81.03,"STS15":88.32,"STS16":83.91,"STS17 (en-en)":87.59,"STS22 (en)":68.0,"STSBenchmark":85.57}
|
88 |
{"index":236,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
89 |
{"index":183,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.06,"BIOSSES":84.73,"SICK-R":80.49,"STS12":75.93,"STS13":85.22,"STS14":80.54,"STS15":88.81,"STS16":85.28,"STS17 (en-en)":89.37,"STS22 (en)":62.99,"STSBenchmark":87.21}
|
90 |
-
{"index":
|
91 |
-
{"index":
|
92 |
{"index":234,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.04,"BIOSSES":86.66,"SICK-R":79.44,"STS12":76.17,"STS13":84.15,"STS14":81.49,"STS15":88.11,"STS16":84.99,"STS17 (en-en)":87.98,"STS22 (en)":65.07,"STSBenchmark":86.31}
|
93 |
{"index":18,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.97,"BIOSSES":83.65,"SICK-R":79.37,"STS12":74.38,"STS13":84.71,"STS14":80.1,"STS15":87.16,"STS16":85.02,"STS17 (en-en)":90.64,"STS22 (en)":68.63,"STSBenchmark":86.04}
|
94 |
{"index":109,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
95 |
{"index":322,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
96 |
-
{"index":
|
97 |
-
{"index":
|
98 |
{"index":68,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.93,"BIOSSES":83.99,"SICK-R":74.65,"STS12":79.39,"STS13":85.32,"STS14":83.9,"STS15":88.47,"STS16":84.44,"STS17 (en-en)":85.77,"STS22 (en)":67.24,"STSBenchmark":86.08}
|
99 |
{"index":318,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.9,"BIOSSES":85.83,"SICK-R":79.0,"STS12":73.48,"STS13":86.14,"STS14":80.36,"STS15":88.53,"STS16":84.08,"STS17 (en-en)":89.42,"STS22 (en)":66.75,"STSBenchmark":85.45}
|
100 |
{"index":285,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.83,"BIOSSES":78.93,"SICK-R":80.34,"STS12":79.11,"STS13":87.33,"STS14":83.17,"STS15":88.28,"STS16":84.36,"STS17 (en-en)":88.99,"STS22 (en)":62.39,"STSBenchmark":85.36}
|
@@ -103,16 +103,16 @@
|
|
103 |
{"index":286,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.66,"BIOSSES":73.12,"SICK-R":79.98,"STS12":79.02,"STS13":88.8,"STS14":84.33,"STS15":88.89,"STS16":85.31,"STS17 (en-en)":88.91,"STS22 (en)":64.32,"STSBenchmark":83.93}
|
104 |
{"index":208,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.63,"BIOSSES":86.73,"SICK-R":77.45,"STS12":74.22,"STS13":86.12,"STS14":78.88,"STS15":87.5,"STS16":84.26,"STS17 (en-en)":89.68,"STS22 (en)":65.96,"STSBenchmark":85.54}
|
105 |
{"index":189,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":81.62,"BIOSSES":82.49,"SICK-R":80.23,"STS12":80.02,"STS13":81.55,"STS14":77.72,"STS15":89.31,"STS16":85.79,"STS17 (en-en)":88.12,"STS22 (en)":63.66,"STSBenchmark":87.29}
|
106 |
-
{"index":
|
107 |
-
{"index":
|
108 |
-
{"index":
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109 |
{"index":335,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":81.58,"BIOSSES":88.72,"SICK-R":76.73,"STS12":73.09,"STS13":84.92,"STS14":79.81,"STS15":88.01,"STS16":84.41,"STS17 (en-en)":90.94,"STS22 (en)":64.96,"STSBenchmark":84.24}
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110 |
{"index":134,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.54,"BIOSSES":87.13,"SICK-R":76.49,"STS12":75.0,"STS13":87.91,"STS14":82.26,"STS15":87.87,"STS16":80.92,"STS17 (en-en)":87.23,"STS22 (en)":68.59,"STSBenchmark":81.95}
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111 |
{"index":194,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":81.52,"BIOSSES":84.65,"SICK-R":79.92,"STS12":75.8,"STS13":83.62,"STS14":78.73,"STS15":86.41,"STS16":84.5,"STS17 (en-en)":89.95,"STS22 (en)":65.81,"STSBenchmark":85.79}
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112 |
{"index":319,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.5,"BIOSSES":87.81,"SICK-R":77.31,"STS12":73.99,"STS13":84.23,"STS14":80.09,"STS15":88.2,"STS16":83.61,"STS17 (en-en)":87.8,"STS22 (en)":66.84,"STSBenchmark":85.13}
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113 |
{"index":129,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/abhinand\/MedEmbed-small-v0.1\">MedEmbed-small-v0.1<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.48,"BIOSSES":87.2,"SICK-R":79.66,"STS12":76.22,"STS13":83.46,"STS14":80.4,"STS15":86.41,"STS16":83.29,"STS17 (en-en)":86.54,"STS22 (en)":66.81,"STSBenchmark":84.81}
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114 |
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{"index":
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115 |
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{"index":
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116 |
{"index":240,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"Average":81.34,"BIOSSES":81.58,"SICK-R":79.24,"STS12":78.16,"STS13":86.01,"STS14":81.25,"STS15":86.51,"STS16":84.24,"STS17 (en-en)":86.44,"STS22 (en)":65.14,"STSBenchmark":84.8}
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117 |
{"index":111,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":81.26,"BIOSSES":87.6,"SICK-R":77.01,"STS12":75.67,"STS13":82.4,"STS14":79.93,"STS15":85.82,"STS16":84.5,"STS17 (en-en)":88.93,"STS22 (en)":67.1,"STSBenchmark":83.6}
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118 |
{"index":231,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.19,"BIOSSES":83.94,"SICK-R":78.64,"STS12":74.88,"STS13":83.64,"STS14":80.4,"STS15":88.01,"STS16":84.31,"STS17 (en-en)":88.3,"STS22 (en)":63.84,"STSBenchmark":85.93}
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@@ -121,8 +121,8 @@
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121 |
{"index":182,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.05,"BIOSSES":81.4,"SICK-R":78.3,"STS12":75.79,"STS13":83.58,"STS14":79.95,"STS15":88.82,"STS16":84.46,"STS17 (en-en)":87.58,"STS22 (en)":64.07,"STSBenchmark":86.52}
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122 |
{"index":333,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":81.04,"BIOSSES":84.87,"SICK-R":79.18,"STS12":71.98,"STS13":85.52,"STS14":80.5,"STS15":87.51,"STS16":84.48,"STS17 (en-en)":88.11,"STS22 (en)":65.92,"STSBenchmark":82.34}
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123 |
{"index":332,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":80.97,"BIOSSES":86.35,"SICK-R":80.6,"STS12":69.8,"STS13":83.27,"STS14":76.09,"STS15":86.12,"STS16":85.96,"STS17 (en-en)":90.25,"STS22 (en)":68.12,"STSBenchmark":83.17}
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124 |
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{"index":
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125 |
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{"index":
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126 |
{"index":34,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.92,"BIOSSES":81.72,"SICK-R":79.65,"STS12":72.6,"STS13":82.88,"STS14":79.74,"STS15":86.98,"STS16":84.41,"STS17 (en-en)":89.22,"STS22 (en)":65.42,"STSBenchmark":86.58}
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127 |
{"index":186,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.87,"BIOSSES":84.22,"SICK-R":78.9,"STS12":75.19,"STS13":81.8,"STS14":78.48,"STS15":87.49,"STS16":84.58,"STS17 (en-en)":87.94,"STS22 (en)":63.76,"STSBenchmark":86.36}
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128 |
{"index":238,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.84,"BIOSSES":87.19,"SICK-R":74.19,"STS12":73.22,"STS13":84.77,"STS14":79.99,"STS15":87.27,"STS16":82.31,"STS17 (en-en)":89.54,"STS22 (en)":65.93,"STSBenchmark":83.96}
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@@ -131,8 +131,8 @@
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131 |
{"index":133,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.72,"BIOSSES":79.96,"SICK-R":79.25,"STS12":78.37,"STS13":81.85,"STS14":80.85,"STS15":86.47,"STS16":84.48,"STS17 (en-en)":85.71,"STS22 (en)":65.38,"STSBenchmark":84.89}
|
132 |
{"index":138,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.72,"BIOSSES":81.26,"SICK-R":79.09,"STS12":75.04,"STS13":83.26,"STS14":78.62,"STS15":87.03,"STS16":83.01,"STS17 (en-en)":87.36,"STS22 (en)":68.11,"STSBenchmark":84.4}
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133 |
{"index":203,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.7,"BIOSSES":81.23,"SICK-R":79.65,"STS12":74.27,"STS13":84.18,"STS14":78.81,"STS15":87.55,"STS16":85.35,"STS17 (en-en)":88.88,"STS22 (en)":62.2,"STSBenchmark":84.84}
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134 |
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{"index":
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135 |
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{"index":
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136 |
{"index":316,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.59,"BIOSSES":82.19,"SICK-R":79.25,"STS12":73.71,"STS13":82.32,"STS14":80.07,"STS15":87.21,"STS16":82.33,"STS17 (en-en)":87.58,"STS22 (en)":66.3,"STSBenchmark":84.92}
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137 |
{"index":97,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":80.53,"BIOSSES":79.5,"SICK-R":79.59,"STS12":74.29,"STS13":85.35,"STS14":79.21,"STS15":85.52,"STS16":82.54,"STS17 (en-en)":90.44,"STS22 (en)":63.2,"STSBenchmark":85.67}
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138 |
{"index":211,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.47,"BIOSSES":80.72,"SICK-R":81.87,"STS12":70.75,"STS13":84.37,"STS14":74.51,"STS15":86.41,"STS16":84.74,"STS17 (en-en)":89.03,"STS22 (en)":65.87,"STSBenchmark":86.46}
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1 |
{"index":67,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":86.02,"BIOSSES":87.86,"SICK-R":81.01,"STS12":85.52,"STS13":89.37,"STS14":91.61,"STS15":92.02,"STS16":86.29,"STS17 (en-en)":88.71,"STS22 (en)":68.58,"STSBenchmark":89.28}
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2 |
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{"index":179,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.81,"BIOSSES":88.69,"SICK-R":89.62,"STS12":82.44,"STS13":89.49,"STS14":84.95,"STS15":89.31,"STS16":86.85,"STS17 (en-en)":90.0,"STS22 (en)":67.28,"STSBenchmark":89.44}
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{"index":206,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":85.81,"BIOSSES":88.69,"SICK-R":89.62,"STS12":82.44,"STS13":89.49,"STS14":84.95,"STS15":89.31,"STS16":86.85,"STS17 (en-en)":90.0,"STS22 (en)":67.28,"STSBenchmark":89.44}
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{"index":9,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":85.79,"BIOSSES":89.7,"SICK-R":78.44,"STS12":86.46,"STS13":87.76,"STS14":86.6,"STS15":90.1,"STS16":86.39,"STS17 (en-en)":86.98,"STS22 (en)":76.89,"STSBenchmark":88.56}
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5 |
{"index":53,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.48,"BIOSSES":87.14,"SICK-R":82.46,"STS12":80.15,"STS13":89.94,"STS14":86.24,"STS15":91.2,"STS16":88.19,"STS17 (en-en)":91.93,"STS22 (en)":68.32,"STSBenchmark":89.21}
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6 |
{"index":302,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Meta-Llama-3-8B-Instruct\">BinGSE-Meta-Llama-3-8B-Instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.31,"BIOSSES":86.94,"SICK-R":83.73,"STS12":81.39,"STS13":87.96,"STS14":85.58,"STS15":89.78,"STS16":87.89,"STS17 (en-en)":92.02,"STS22 (en)":69.01,"STSBenchmark":88.83}
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7 |
{"index":1,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":85.07,"BIOSSES":89.46,"SICK-R":81.93,"STS12":77.59,"STS13":90.36,"STS14":85.25,"STS15":89.66,"STS16":87.34,"STS17 (en-en)":92.06,"STS22 (en)":68.02,"STSBenchmark":88.99}
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8 |
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{"index":112,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.05,"BIOSSES":86.07,"SICK-R":82.92,"STS12":79.47,"STS13":89.15,"STS14":84.93,"STS15":90.74,"STS16":87.82,"STS17 (en-en)":92.02,"STS22 (en)":68.36,"STSBenchmark":89.0}
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9 |
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{"index":151,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/compressa-ai\/Compressa-Embeddings\">Compressa-Embeddings<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.05,"BIOSSES":86.07,"SICK-R":82.92,"STS12":79.47,"STS13":89.15,"STS14":84.93,"STS15":90.74,"STS16":87.82,"STS17 (en-en)":92.02,"STS22 (en)":68.36,"STSBenchmark":89.0}
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10 |
{"index":310,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.04,"BIOSSES":89.15,"SICK-R":82.83,"STS12":78.65,"STS13":90.0,"STS14":84.97,"STS15":89.81,"STS16":86.71,"STS17 (en-en)":89.8,"STS22 (en)":69.67,"STSBenchmark":88.77}
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11 |
{"index":190,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.03,"BIOSSES":87.46,"SICK-R":81.73,"STS12":82.53,"STS13":88.05,"STS14":84.83,"STS15":91.02,"STS16":87.32,"STS17 (en-en)":90.33,"STS22 (en)":68.67,"STSBenchmark":88.39}
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12 |
{"index":294,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/stellarator\/mxbai-embed-large-v1-Q5_K_M-GGUF\">mxbai-embed-large-v1-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.0,"BIOSSES":88.41,"SICK-R":82.92,"STS12":78.76,"STS13":90.35,"STS14":85.46,"STS15":89.62,"STS16":86.58,"STS17 (en-en)":89.5,"STS22 (en)":69.34,"STSBenchmark":89.1}
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31 |
{"index":77,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.09,"BIOSSES":85.24,"SICK-R":83.7,"STS12":78.8,"STS13":86.37,"STS14":84.04,"STS15":88.99,"STS16":87.22,"STS17 (en-en)":90.19,"STS22 (en)":67.68,"STSBenchmark":88.65}
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32 |
{"index":27,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":83.88,"BIOSSES":85.74,"SICK-R":82.66,"STS12":77.71,"STS13":87.45,"STS14":83.48,"STS15":87.63,"STS16":86.7,"STS17 (en-en)":91.18,"STS22 (en)":69.02,"STSBenchmark":87.25}
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33 |
{"index":198,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.85,"BIOSSES":86.75,"SICK-R":82.33,"STS12":77.61,"STS13":87.95,"STS14":83.85,"STS15":88.47,"STS16":86.46,"STS17 (en-en)":88.7,"STS22 (en)":68.02,"STSBenchmark":88.33}
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34 |
+
{"index":177,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.74,"BIOSSES":80.97,"SICK-R":82.99,"STS12":78.17,"STS13":88.13,"STS14":83.78,"STS15":88.79,"STS16":86.47,"STS17 (en-en)":92.23,"STS22 (en)":68.35,"STSBenchmark":87.47}
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35 |
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{"index":73,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":83.73,"BIOSSES":82.13,"SICK-R":83.01,"STS12":78.85,"STS13":86.84,"STS14":84.04,"STS15":88.72,"STS16":86.79,"STS17 (en-en)":90.63,"STS22 (en)":67.55,"STSBenchmark":88.72}
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36 |
{"index":75,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":83.58,"BIOSSES":84.92,"SICK-R":83.94,"STS12":79.27,"STS13":84.83,"STS14":82.94,"STS15":88.09,"STS16":86.54,"STS17 (en-en)":89.58,"STS22 (en)":67.67,"STSBenchmark":88.05}
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37 |
{"index":79,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":83.58,"BIOSSES":85.88,"SICK-R":82.25,"STS12":78.28,"STS13":85.52,"STS14":82.49,"STS15":88.76,"STS16":87.11,"STS17 (en-en)":90.1,"STS22 (en)":68.25,"STSBenchmark":87.16}
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38 |
{"index":137,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.51,"BIOSSES":87.95,"SICK-R":81.29,"STS12":76.16,"STS13":87.85,"STS14":83.39,"STS15":89.43,"STS16":85.35,"STS17 (en-en)":88.59,"STS22 (en)":67.81,"STSBenchmark":87.32}
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39 |
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{"index":22,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q4_K_M-GGUF\">jina-embeddings-v2-base-es-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
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40 |
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{"index":21,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q2_K-GGUF\">jina-embeddings-v2-base-es-Q2_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
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41 |
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{"index":204,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
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42 |
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{"index":251,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
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43 |
{"index":30,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.35,"BIOSSES":86.35,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.13,"STS22 (en)":68.63,"STSBenchmark":85.64}
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44 |
{"index":297,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.35,"BIOSSES":86.35,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.13,"STS22 (en)":68.63,"STSBenchmark":85.64}
|
45 |
{"index":48,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":83.35,"BIOSSES":86.32,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.14,"STS22 (en)":68.63,"STSBenchmark":85.64}
|
46 |
{"index":299,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.35,"BIOSSES":88.65,"SICK-R":79.81,"STS12":76.81,"STS13":88.11,"STS14":82.66,"STS15":88.93,"STS16":84.25,"STS17 (en-en)":88.47,"STS22 (en)":69.71,"STSBenchmark":86.07}
|
47 |
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{"index":113,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.34,"BIOSSES":85.81,"SICK-R":81.75,"STS12":78.51,"STS13":86.62,"STS14":83.06,"STS15":88.39,"STS16":86.82,"STS17 (en-en)":87.9,"STS22 (en)":66.76,"STSBenchmark":87.77}
|
48 |
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{"index":212,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.34,"BIOSSES":85.81,"SICK-R":81.75,"STS12":78.51,"STS13":86.62,"STS14":83.06,"STS15":88.39,"STS16":86.82,"STS17 (en-en)":87.9,"STS22 (en)":66.76,"STSBenchmark":87.77}
|
49 |
{"index":49,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":83.26,"BIOSSES":87.34,"SICK-R":80.56,"STS12":73.69,"STS13":85.82,"STS14":82.05,"STS15":88.8,"STS16":86.2,"STS17 (en-en)":91.46,"STS22 (en)":69.21,"STSBenchmark":87.43}
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50 |
{"index":37,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":83.15,"BIOSSES":85.01,"SICK-R":82.18,"STS12":77.62,"STS13":85.16,"STS14":80.02,"STS15":88.92,"STS16":86.92,"STS17 (en-en)":90.09,"STS22 (en)":66.81,"STSBenchmark":88.79}
|
51 |
{"index":175,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.15,"BIOSSES":84.39,"SICK-R":81.27,"STS12":76.28,"STS13":88.18,"STS14":81.92,"STS15":89.01,"STS16":85.49,"STS17 (en-en)":90.3,"STS22 (en)":67.74,"STSBenchmark":86.88}
|
52 |
{"index":178,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
53 |
{"index":260,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
54 |
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{"index":25,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
55 |
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{"index":259,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
56 |
{"index":303,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Sheared-LLaMA\">BinGSE-Sheared-LLaMA<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.1,"BIOSSES":83.85,"SICK-R":82.5,"STS12":77.04,"STS13":84.56,"STS14":82.12,"STS15":88.14,"STS16":86.38,"STS17 (en-en)":91.49,"STS22 (en)":68.45,"STSBenchmark":86.51}
|
57 |
{"index":176,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.06,"BIOSSES":84.15,"SICK-R":81.7,"STS12":75.32,"STS13":87.44,"STS14":81.87,"STS15":88.94,"STS16":85.38,"STS17 (en-en)":90.54,"STS22 (en)":68.65,"STSBenchmark":86.56}
|
58 |
{"index":17,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":83.04,"BIOSSES":81.37,"SICK-R":79.28,"STS12":79.55,"STS13":88.83,"STS14":83.87,"STS15":88.54,"STS16":86.49,"STS17 (en-en)":88.73,"STS22 (en)":66.88,"STSBenchmark":86.85}
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69 |
{"index":16,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.73,"BIOSSES":82.11,"SICK-R":80.49,"STS12":77.25,"STS13":87.79,"STS14":82.91,"STS15":88.45,"STS16":85.45,"STS17 (en-en)":90.33,"STS22 (en)":66.1,"STSBenchmark":86.38}
|
70 |
{"index":287,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.63,"BIOSSES":80.43,"SICK-R":80.47,"STS12":78.85,"STS13":88.94,"STS14":84.86,"STS15":89.32,"STS16":84.67,"STS17 (en-en)":89.46,"STS22 (en)":65.33,"STSBenchmark":84.01}
|
71 |
{"index":35,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.62,"BIOSSES":83.5,"SICK-R":81.27,"STS12":74.37,"STS13":85.2,"STS14":80.98,"STS15":89.23,"STS16":86.32,"STS17 (en-en)":90.34,"STS22 (en)":66.42,"STSBenchmark":88.55}
|
72 |
+
{"index":147,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
73 |
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{"index":70,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
74 |
{"index":202,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
75 |
{"index":207,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.56,"BIOSSES":86.54,"SICK-R":83.23,"STS12":76.13,"STS13":83.19,"STS14":80.6,"STS15":87.16,"STS16":85.16,"STS17 (en-en)":90.88,"STS22 (en)":67.04,"STSBenchmark":85.67}
|
76 |
{"index":233,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
|
77 |
{"index":15,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
|
78 |
{"index":52,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":82.42,"BIOSSES":86.24,"SICK-R":79.93,"STS12":76.67,"STS13":84.87,"STS14":80.11,"STS15":88.7,"STS16":84.62,"STS17 (en-en)":87.94,"STS22 (en)":69.0,"STSBenchmark":86.07}
|
79 |
{"index":51,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":82.4,"BIOSSES":86.33,"SICK-R":79.63,"STS12":81.5,"STS13":84.49,"STS14":80.06,"STS15":86.54,"STS16":85.41,"STS17 (en-en)":86.4,"STS22 (en)":69.37,"STSBenchmark":84.3}
|
80 |
+
{"index":142,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
81 |
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{"index":23,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
82 |
{"index":195,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":82.37,"BIOSSES":84.82,"SICK-R":80.85,"STS12":76.1,"STS13":85.49,"STS14":80.44,"STS15":87.75,"STS16":85.42,"STS17 (en-en)":89.95,"STS22 (en)":65.13,"STSBenchmark":87.71}
|
83 |
{"index":298,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.3,"BIOSSES":87.64,"SICK-R":78.86,"STS12":75.71,"STS13":85.73,"STS14":81.51,"STS15":88.81,"STS16":83.82,"STS17 (en-en)":87.9,"STS22 (en)":67.33,"STSBenchmark":85.73}
|
84 |
{"index":174,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.29,"BIOSSES":82.31,"SICK-R":80.26,"STS12":77.02,"STS13":86.58,"STS14":81.32,"STS15":88.19,"STS16":84.88,"STS17 (en-en)":89.46,"STS22 (en)":66.45,"STSBenchmark":86.43}
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87 |
{"index":300,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"BIOSSES":88.17,"SICK-R":77.93,"STS12":75.12,"STS13":85.09,"STS14":81.03,"STS15":88.32,"STS16":83.91,"STS17 (en-en)":87.59,"STS22 (en)":68.0,"STSBenchmark":85.57}
|
88 |
{"index":236,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
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89 |
{"index":183,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.06,"BIOSSES":84.73,"SICK-R":80.49,"STS12":75.93,"STS13":85.22,"STS14":80.54,"STS15":88.81,"STS16":85.28,"STS17 (en-en)":89.37,"STS22 (en)":62.99,"STSBenchmark":87.21}
|
90 |
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{"index":63,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.05,"BIOSSES":83.6,"SICK-R":79.28,"STS12":76.95,"STS13":84.12,"STS14":80.46,"STS15":89.76,"STS16":85.47,"STS17 (en-en)":89.03,"STS22 (en)":64.11,"STSBenchmark":87.74}
|
91 |
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{"index":184,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.05,"BIOSSES":83.6,"SICK-R":79.28,"STS12":76.95,"STS13":84.12,"STS14":80.46,"STS15":89.76,"STS16":85.47,"STS17 (en-en)":89.03,"STS22 (en)":64.11,"STSBenchmark":87.74}
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92 |
{"index":234,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.04,"BIOSSES":86.66,"SICK-R":79.44,"STS12":76.17,"STS13":84.15,"STS14":81.49,"STS15":88.11,"STS16":84.99,"STS17 (en-en)":87.98,"STS22 (en)":65.07,"STSBenchmark":86.31}
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93 |
{"index":18,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.97,"BIOSSES":83.65,"SICK-R":79.37,"STS12":74.38,"STS13":84.71,"STS14":80.1,"STS15":87.16,"STS16":85.02,"STS17 (en-en)":90.64,"STS22 (en)":68.63,"STSBenchmark":86.04}
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94 |
{"index":109,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
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95 |
{"index":322,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
96 |
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{"index":243,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
97 |
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{"index":127,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
98 |
{"index":68,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.93,"BIOSSES":83.99,"SICK-R":74.65,"STS12":79.39,"STS13":85.32,"STS14":83.9,"STS15":88.47,"STS16":84.44,"STS17 (en-en)":85.77,"STS22 (en)":67.24,"STSBenchmark":86.08}
|
99 |
{"index":318,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.9,"BIOSSES":85.83,"SICK-R":79.0,"STS12":73.48,"STS13":86.14,"STS14":80.36,"STS15":88.53,"STS16":84.08,"STS17 (en-en)":89.42,"STS22 (en)":66.75,"STSBenchmark":85.45}
|
100 |
{"index":285,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.83,"BIOSSES":78.93,"SICK-R":80.34,"STS12":79.11,"STS13":87.33,"STS14":83.17,"STS15":88.28,"STS16":84.36,"STS17 (en-en)":88.99,"STS22 (en)":62.39,"STSBenchmark":85.36}
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|
103 |
{"index":286,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.66,"BIOSSES":73.12,"SICK-R":79.98,"STS12":79.02,"STS13":88.8,"STS14":84.33,"STS15":88.89,"STS16":85.31,"STS17 (en-en)":88.91,"STS22 (en)":64.32,"STSBenchmark":83.93}
|
104 |
{"index":208,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.63,"BIOSSES":86.73,"SICK-R":77.45,"STS12":74.22,"STS13":86.12,"STS14":78.88,"STS15":87.5,"STS16":84.26,"STS17 (en-en)":89.68,"STS22 (en)":65.96,"STSBenchmark":85.54}
|
105 |
{"index":189,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":81.62,"BIOSSES":82.49,"SICK-R":80.23,"STS12":80.02,"STS13":81.55,"STS14":77.72,"STS15":89.31,"STS16":85.79,"STS17 (en-en)":88.12,"STS22 (en)":63.66,"STSBenchmark":87.29}
|
106 |
+
{"index":54,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HowardC\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.59,"BIOSSES":83.75,"SICK-R":79.41,"STS12":77.44,"STS13":82.98,"STS14":81.84,"STS15":87.26,"STS16":84.93,"STS17 (en-en)":87.15,"STS22 (en)":65.3,"STSBenchmark":85.86}
|
107 |
+
{"index":28,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.59,"BIOSSES":83.75,"SICK-R":79.41,"STS12":77.44,"STS13":82.98,"STS14":81.84,"STS15":87.26,"STS16":84.93,"STS17 (en-en)":87.15,"STS22 (en)":65.3,"STSBenchmark":85.86}
|
108 |
+
{"index":314,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wangjinzzhong\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.59,"BIOSSES":83.75,"SICK-R":79.41,"STS12":77.44,"STS13":82.98,"STS14":81.84,"STS15":87.26,"STS16":84.93,"STS17 (en-en)":87.15,"STS22 (en)":65.3,"STSBenchmark":85.86}
|
109 |
{"index":335,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":81.58,"BIOSSES":88.72,"SICK-R":76.73,"STS12":73.09,"STS13":84.92,"STS14":79.81,"STS15":88.01,"STS16":84.41,"STS17 (en-en)":90.94,"STS22 (en)":64.96,"STSBenchmark":84.24}
|
110 |
{"index":134,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.54,"BIOSSES":87.13,"SICK-R":76.49,"STS12":75.0,"STS13":87.91,"STS14":82.26,"STS15":87.87,"STS16":80.92,"STS17 (en-en)":87.23,"STS22 (en)":68.59,"STSBenchmark":81.95}
|
111 |
{"index":194,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":81.52,"BIOSSES":84.65,"SICK-R":79.92,"STS12":75.8,"STS13":83.62,"STS14":78.73,"STS15":86.41,"STS16":84.5,"STS17 (en-en)":89.95,"STS22 (en)":65.81,"STSBenchmark":85.79}
|
112 |
{"index":319,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.5,"BIOSSES":87.81,"SICK-R":77.31,"STS12":73.99,"STS13":84.23,"STS14":80.09,"STS15":88.2,"STS16":83.61,"STS17 (en-en)":87.8,"STS22 (en)":66.84,"STSBenchmark":85.13}
|
113 |
{"index":129,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/abhinand\/MedEmbed-small-v0.1\">MedEmbed-small-v0.1<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.48,"BIOSSES":87.2,"SICK-R":79.66,"STS12":76.22,"STS13":83.46,"STS14":80.4,"STS15":86.41,"STS16":83.29,"STS17 (en-en)":86.54,"STS22 (en)":66.81,"STSBenchmark":84.81}
|
114 |
+
{"index":19,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":81.43,"BIOSSES":85.39,"SICK-R":79.78,"STS12":73.88,"STS13":85.08,"STS14":79.61,"STS15":86.15,"STS16":81.6,"STS17 (en-en)":89.11,"STS22 (en)":70.59,"STSBenchmark":83.07}
|
115 |
+
{"index":252,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":81.43,"BIOSSES":85.39,"SICK-R":79.78,"STS12":73.88,"STS13":85.08,"STS14":79.61,"STS15":86.15,"STS16":81.6,"STS17 (en-en)":89.11,"STS22 (en)":70.59,"STSBenchmark":83.07}
|
116 |
{"index":240,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"Average":81.34,"BIOSSES":81.58,"SICK-R":79.24,"STS12":78.16,"STS13":86.01,"STS14":81.25,"STS15":86.51,"STS16":84.24,"STS17 (en-en)":86.44,"STS22 (en)":65.14,"STSBenchmark":84.8}
|
117 |
{"index":111,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":81.26,"BIOSSES":87.6,"SICK-R":77.01,"STS12":75.67,"STS13":82.4,"STS14":79.93,"STS15":85.82,"STS16":84.5,"STS17 (en-en)":88.93,"STS22 (en)":67.1,"STSBenchmark":83.6}
|
118 |
{"index":231,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.19,"BIOSSES":83.94,"SICK-R":78.64,"STS12":74.88,"STS13":83.64,"STS14":80.4,"STS15":88.01,"STS16":84.31,"STS17 (en-en)":88.3,"STS22 (en)":63.84,"STSBenchmark":85.93}
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|
121 |
{"index":182,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.05,"BIOSSES":81.4,"SICK-R":78.3,"STS12":75.79,"STS13":83.58,"STS14":79.95,"STS15":88.82,"STS16":84.46,"STS17 (en-en)":87.58,"STS22 (en)":64.07,"STSBenchmark":86.52}
|
122 |
{"index":333,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":81.04,"BIOSSES":84.87,"SICK-R":79.18,"STS12":71.98,"STS13":85.52,"STS14":80.5,"STS15":87.51,"STS16":84.48,"STS17 (en-en)":88.11,"STS22 (en)":65.92,"STSBenchmark":82.34}
|
123 |
{"index":332,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":80.97,"BIOSSES":86.35,"SICK-R":80.6,"STS12":69.8,"STS13":83.27,"STS14":76.09,"STS15":86.12,"STS16":85.96,"STS17 (en-en)":90.25,"STS22 (en)":68.12,"STSBenchmark":83.17}
|
124 |
+
{"index":200,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":80.96,"BIOSSES":84.43,"SICK-R":79.2,"STS12":74.52,"STS13":83.16,"STS14":78.09,"STS15":86.91,"STS16":83.65,"STS17 (en-en)":90.16,"STS22 (en)":64.88,"STSBenchmark":84.6}
|
125 |
+
{"index":181,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":80.96,"BIOSSES":85.1,"SICK-R":79.66,"STS12":74.22,"STS13":83.31,"STS14":78.52,"STS15":88.35,"STS16":84.15,"STS17 (en-en)":87.23,"STS22 (en)":62.88,"STSBenchmark":86.18}
|
126 |
{"index":34,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.92,"BIOSSES":81.72,"SICK-R":79.65,"STS12":72.6,"STS13":82.88,"STS14":79.74,"STS15":86.98,"STS16":84.41,"STS17 (en-en)":89.22,"STS22 (en)":65.42,"STSBenchmark":86.58}
|
127 |
{"index":186,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.87,"BIOSSES":84.22,"SICK-R":78.9,"STS12":75.19,"STS13":81.8,"STS14":78.48,"STS15":87.49,"STS16":84.58,"STS17 (en-en)":87.94,"STS22 (en)":63.76,"STSBenchmark":86.36}
|
128 |
{"index":238,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.84,"BIOSSES":87.19,"SICK-R":74.19,"STS12":73.22,"STS13":84.77,"STS14":79.99,"STS15":87.27,"STS16":82.31,"STS17 (en-en)":89.54,"STS22 (en)":65.93,"STSBenchmark":83.96}
|
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|
131 |
{"index":133,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.72,"BIOSSES":79.96,"SICK-R":79.25,"STS12":78.37,"STS13":81.85,"STS14":80.85,"STS15":86.47,"STS16":84.48,"STS17 (en-en)":85.71,"STS22 (en)":65.38,"STSBenchmark":84.89}
|
132 |
{"index":138,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.72,"BIOSSES":81.26,"SICK-R":79.09,"STS12":75.04,"STS13":83.26,"STS14":78.62,"STS15":87.03,"STS16":83.01,"STS17 (en-en)":87.36,"STS22 (en)":68.11,"STSBenchmark":84.4}
|
133 |
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{"index":136,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/arkohut\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.7,"BIOSSES":81.23,"SICK-R":79.65,"STS12":74.27,"STS13":84.18,"STS14":78.81,"STS15":87.55,"STS16":85.35,"STS17 (en-en)":88.88,"STS22 (en)":62.2,"STSBenchmark":84.84}
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{"index":313,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.7,"BIOSSES":81.23,"SICK-R":79.65,"STS12":74.27,"STS13":84.18,"STS14":78.81,"STS15":87.55,"STS16":85.35,"STS17 (en-en)":88.88,"STS22 (en)":62.2,"STSBenchmark":84.84}
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{"index":316,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.59,"BIOSSES":82.19,"SICK-R":79.25,"STS12":73.71,"STS13":82.32,"STS14":80.07,"STS15":87.21,"STS16":82.33,"STS17 (en-en)":87.58,"STS22 (en)":66.3,"STSBenchmark":84.92}
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137 |
{"index":97,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":80.53,"BIOSSES":79.5,"SICK-R":79.59,"STS12":74.29,"STS13":85.35,"STS14":79.21,"STS15":85.52,"STS16":82.54,"STS17 (en-en)":90.44,"STS22 (en)":63.2,"STSBenchmark":85.67}
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138 |
{"index":211,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.47,"BIOSSES":80.72,"SICK-R":81.87,"STS12":70.75,"STS13":84.37,"STS14":74.51,"STS15":86.41,"STS16":84.74,"STS17 (en-en)":89.03,"STS22 (en)":65.87,"STSBenchmark":86.46}
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all_data_tasks/6/default.jsonl
CHANGED
@@ -22,88 +22,88 @@
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|
22 |
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|
23 |
{"index":260,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.61}
|
24 |
{"index":178,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.61}
|
25 |
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{"index":
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26 |
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{"index":
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27 |
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{"index":
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28 |
{"index":283,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":31.57}
|
29 |
{"index":147,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.55}
|
30 |
{"index":70,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.55}
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31 |
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{"index":
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32 |
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{"index":
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33 |
{"index":185,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.53}
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|
35 |
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|
36 |
-
{"index":
|
37 |
-
{"index":
|
38 |
{"index":220,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_glove\">M2V_base_glove<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":31.45}
|
39 |
{"index":76,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":31.45}
|
40 |
{"index":320,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.42}
|
41 |
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{"index":284,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.39}
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{"index":
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45 |
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|
48 |
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|
49 |
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50 |
{"index":201,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-s-en-v1\">jina-embedding-s-en-v1<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":512,"Max Tokens":512,"SummEval":31.25}
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{"index":55,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Hum-Works\/lodestone-base-4096-v1\">lodestone-base-4096-v1<\/a>","Model Size (Million Parameters)":69,"Memory Usage (GB, fp32)":0.26,"Embedding Dimensions":768,"Max Tokens":4096,"SummEval":31.23}
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|
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|
56 |
{"index":27,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"SummEval":31.2}
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|
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{"index":253,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
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{"index":335,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":31.12}
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{"index":194,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"SummEval":31.1}
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{"index":8,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":30.97}
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{"index":197,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
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{"index":139,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.96}
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100 |
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{"index":207,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.73}
|
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{"index":238,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.72}
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104 |
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{"index":
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105 |
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106 |
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107 |
{"index":246,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.7}
|
108 |
{"index":99,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-MiniLM-L12-v2-all-nli-triplet\">Arabic-MiniLM-L12-v2-all-nli-triplet<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.69}
|
109 |
{"index":282,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.67}
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@@ -117,37 +117,37 @@
|
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117 |
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152 |
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@@ -171,15 +171,15 @@
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172 |
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173 |
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177 |
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178 |
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180 |
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184 |
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185 |
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{"index":203,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.6}
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{"index":226,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.55}
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{"index":202,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.55}
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{"index":208,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.23}
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{"index":80,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"SummEval":31.23}
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54 |
{"index":138,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.22}
|
55 |
{"index":245,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.2}
|
56 |
{"index":27,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"SummEval":31.2}
|
57 |
{"index":302,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Meta-Llama-3-8B-Instruct\">BinGSE-Meta-Llama-3-8B-Instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.19}
|
58 |
{"index":253,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
|
59 |
+
{"index":16,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"SummEval":31.17}
|
60 |
+
{"index":298,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
|
61 |
{"index":18,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.17}
|
62 |
+
{"index":151,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/compressa-ai\/Compressa-Embeddings\">Compressa-Embeddings<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.16}
|
63 |
{"index":112,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.16}
|
64 |
+
{"index":122,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.16}
|
65 |
+
{"index":187,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.16}
|
66 |
{"index":254,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/unsup-simcse-bert-base-uncased\">unsup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.15}
|
67 |
+
{"index":67,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":31.14}
|
68 |
+
{"index":140,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.14}
|
69 |
{"index":335,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":31.12}
|
70 |
{"index":194,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"SummEval":31.1}
|
71 |
+
{"index":142,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.07}
|
72 |
+
{"index":23,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.07}
|
73 |
{"index":53,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.06}
|
74 |
+
{"index":161,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.05}
|
75 |
+
{"index":268,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.05}
|
76 |
+
{"index":336,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"SummEval":31.03}
|
77 |
+
{"index":95,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":31.03}
|
78 |
{"index":209,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.01}
|
79 |
+
{"index":181,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.01}
|
80 |
+
{"index":9,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":31.01}
|
81 |
{"index":37,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.99}
|
82 |
{"index":69,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.98}
|
83 |
+
{"index":81,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.97}
|
84 |
+
{"index":183,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.97}
|
85 |
{"index":8,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":30.97}
|
86 |
{"index":197,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
|
87 |
{"index":139,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.96}
|
88 |
{"index":75,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":30.94}
|
89 |
+
{"index":252,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":30.91}
|
90 |
+
{"index":19,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":30.91}
|
91 |
{"index":137,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.87}
|
92 |
+
{"index":116,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.84}
|
93 |
+
{"index":6,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"SummEval":30.84}
|
94 |
{"index":258,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.83}
|
95 |
+
{"index":212,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.82}
|
96 |
+
{"index":113,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.82}
|
97 |
{"index":270,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.81}
|
98 |
{"index":332,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":30.8}
|
99 |
+
{"index":303,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Sheared-LLaMA\">BinGSE-Sheared-LLaMA<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.79}
|
100 |
+
{"index":308,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":30.79}
|
101 |
{"index":24,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.77}
|
102 |
{"index":207,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.73}
|
103 |
{"index":238,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.72}
|
104 |
+
{"index":199,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.71}
|
105 |
+
{"index":85,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.71}
|
106 |
+
{"index":111,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.71}
|
107 |
{"index":246,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.7}
|
108 |
{"index":99,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-MiniLM-L12-v2-all-nli-triplet\">Arabic-MiniLM-L12-v2-all-nli-triplet<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.69}
|
109 |
{"index":282,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.67}
|
|
|
117 |
{"index":205,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.56}
|
118 |
{"index":133,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.53}
|
119 |
{"index":90,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test24\">test24<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.52}
|
120 |
+
{"index":274,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":30.49}
|
121 |
+
{"index":129,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/abhinand\/MedEmbed-small-v0.1\">MedEmbed-small-v0.1<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.49}
|
122 |
{"index":241,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.47}
|
123 |
{"index":190,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":30.46}
|
124 |
{"index":92,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEval":30.43}
|
125 |
{"index":300,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.42}
|
126 |
+
{"index":36,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.41}
|
127 |
+
{"index":127,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
128 |
{"index":109,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
129 |
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{"index":243,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.4}
|
130 |
{"index":322,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
131 |
+
{"index":48,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"SummEval":30.39}
|
132 |
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{"index":97,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.38}
|
133 |
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{"index":297,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.37}
|
134 |
{"index":30,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.37}
|
135 |
+
{"index":119,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
|
136 |
{"index":244,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nthakur\/contriever-base-msmarco\">contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
|
137 |
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{"index":117,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.31}
|
138 |
+
{"index":83,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Squirtle\">Squirtle<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.3}
|
139 |
+
{"index":182,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.28}
|
140 |
+
{"index":165,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"SummEval":30.28}
|
141 |
+
{"index":66,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.26}
|
142 |
{"index":94,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":30.26}
|
143 |
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{"index":210,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.25}
|
144 |
+
{"index":188,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.23}
|
145 |
+
{"index":278,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.21}
|
146 |
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{"index":184,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.19}
|
147 |
{"index":78,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.19}
|
148 |
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{"index":63,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.19}
|
149 |
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{"index":35,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.18}
|
150 |
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{"index":177,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.17}
|
151 |
{"index":100,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-all-nli-triplet-Matryoshka\">Arabic-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.16}
|
152 |
{"index":314,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wangjinzzhong\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.12}
|
153 |
{"index":54,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HowardC\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.12}
|
|
|
171 |
{"index":204,"Rank":171,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":29.87}
|
172 |
{"index":22,"Rank":172,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q4_K_M-GGUF\">jina-embeddings-v2-base-es-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.87}
|
173 |
{"index":251,"Rank":173,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.87}
|
174 |
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{"index":200,"Rank":174,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.85}
|
175 |
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{"index":174,"Rank":175,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.85}
|
176 |
{"index":135,"Rank":176,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"SummEval":29.83}
|
177 |
{"index":173,"Rank":177,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-uncased\">bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.82}
|
178 |
{"index":49,"Rank":178,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.82}
|
179 |
{"index":316,"Rank":179,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.78}
|
180 |
{"index":309,"Rank":180,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":29.71}
|
181 |
+
{"index":179,"Rank":181,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.71}
|
182 |
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{"index":206,"Rank":182,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEval":29.71}
|
183 |
{"index":93,"Rank":183,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-msmarco-specb-bitfit\">SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":29.71}
|
184 |
{"index":276,"Rank":184,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.67}
|
185 |
{"index":189,"Rank":185,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":29.64}
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boards_data/en/data_overall/default.jsonl
CHANGED
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See raw diff
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boards_data/en/data_tasks/Classification/default.jsonl
CHANGED
@@ -7,7 +7,7 @@
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|
7 |
{"index":245,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.35,"AmazonCounterfactualClassification (en)":95.12,"AmazonPolarityClassification":97.14,"AmazonReviewsClassification (en)":55.47,"Banking77Classification":90.34,"EmotionClassification":91.7,"ImdbClassification":97.06,"MassiveIntentClassification (en)":80.07,"MassiveScenarioClassification (en)":81.74,"MTOPDomainClassification (en)":96.51,"MTOPIntentClassification (en)":89.77,"ToxicConversationsClassification":92.6,"TweetSentimentExtractionClassification":80.64}
|
8 |
{"index":164,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":86.67,"AmazonCounterfactualClassification (en)":92.36,"AmazonPolarityClassification":97.19,"AmazonReviewsClassification (en)":59.53,"Banking77Classification":89.3,"EmotionClassification":78.77,"ImdbClassification":96.49,"MassiveIntentClassification (en)":85.17,"MassiveScenarioClassification (en)":89.62,"MTOPDomainClassification (en)":98.83,"MTOPIntentClassification (en)":92.3,"ToxicConversationsClassification":86.94,"TweetSentimentExtractionClassification":73.58}
|
9 |
{"index":17,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":86.58,"AmazonCounterfactualClassification (en)":91.31,"AmazonPolarityClassification":97.5,"AmazonReviewsClassification (en)":62.56,"Banking77Classification":87.57,"EmotionClassification":79.45,"ImdbClassification":96.75,"MassiveIntentClassification (en)":85.41,"MassiveScenarioClassification (en)":89.77,"MTOPDomainClassification (en)":99.04,"MTOPIntentClassification (en)":91.88,"ToxicConversationsClassification":85.12,"TweetSentimentExtractionClassification":72.58}
|
10 |
-
{"index":177,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.
|
11 |
{"index":51,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":85.1,"AmazonCounterfactualClassification (en)":91.72,"AmazonPolarityClassification":96.5,"AmazonReviewsClassification (en)":61.24,"Banking77Classification":84.93,"EmotionClassification":85.56,"ImdbClassification":95.03,"MassiveIntentClassification (en)":74.94,"MassiveScenarioClassification (en)":82.06,"MTOPDomainClassification (en)":97.58,"MTOPIntentClassification (en)":86.08,"ToxicConversationsClassification":89.04,"TweetSentimentExtractionClassification":76.49}
|
12 |
{"index":179,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.58,"AmazonCounterfactualClassification (en)":89.49,"AmazonPolarityClassification":95.38,"AmazonReviewsClassification (en)":49.77,"Banking77Classification":84.08,"EmotionClassification":73.3,"ImdbClassification":91.9,"MassiveIntentClassification (en)":77.61,"MassiveScenarioClassification (en)":84.71,"MTOPDomainClassification (en)":97.49,"MTOPIntentClassification (en)":84.53,"ToxicConversationsClassification":91.29,"TweetSentimentExtractionClassification":71.4}
|
13 |
{"index":206,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":82.58,"AmazonCounterfactualClassification (en)":89.49,"AmazonPolarityClassification":95.38,"AmazonReviewsClassification (en)":49.77,"Banking77Classification":84.08,"EmotionClassification":73.3,"ImdbClassification":91.9,"MassiveIntentClassification (en)":77.61,"MassiveScenarioClassification (en)":84.71,"MTOPDomainClassification (en)":97.49,"MTOPIntentClassification (en)":84.53,"ToxicConversationsClassification":91.29,"TweetSentimentExtractionClassification":71.4}
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@@ -17,8 +17,8 @@
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|
17 |
{"index":1,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":81.17,"AmazonCounterfactualClassification (en)":75.34,"AmazonPolarityClassification":97.34,"AmazonReviewsClassification (en)":51.17,"Banking77Classification":88.62,"EmotionClassification":52.51,"ImdbClassification":95.65,"MassiveIntentClassification (en)":80.22,"MassiveScenarioClassification (en)":87.19,"MTOPDomainClassification (en)":98.35,"MTOPIntentClassification (en)":83.43,"ToxicConversationsClassification":89.67,"TweetSentimentExtractionClassification":74.52}
|
18 |
{"index":69,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":80.2,"AmazonCounterfactualClassification (en)":84.43,"AmazonPolarityClassification":95.7,"AmazonReviewsClassification (en)":57.64,"Banking77Classification":87.88,"EmotionClassification":51.82,"ImdbClassification":94.78,"MassiveIntentClassification (en)":82.67,"MassiveScenarioClassification (en)":85.01,"MTOPDomainClassification (en)":96.83,"MTOPIntentClassification (en)":89.57,"ToxicConversationsClassification":71.29,"TweetSentimentExtractionClassification":64.76}
|
19 |
{"index":15,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":79.6,"AmazonCounterfactualClassification (en)":83.16,"AmazonPolarityClassification":96.7,"AmazonReviewsClassification (en)":62.17,"Banking77Classification":81.68,"EmotionClassification":54.53,"ImdbClassification":95.58,"MassiveIntentClassification (en)":78.47,"MassiveScenarioClassification (en)":78.19,"MTOPDomainClassification (en)":95.75,"MTOPIntentClassification (en)":84.26,"ToxicConversationsClassification":78.75,"TweetSentimentExtractionClassification":66.0}
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20 |
-
{"index":
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21 |
-
{"index":
|
22 |
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24 |
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@@ -27,8 +27,8 @@
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27 |
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|
28 |
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29 |
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30 |
-
{"index":
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31 |
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{"index":
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32 |
{"index":207,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":77.43,"AmazonCounterfactualClassification (en)":82.97,"AmazonPolarityClassification":90.98,"AmazonReviewsClassification (en)":48.71,"Banking77Classification":88.15,"EmotionClassification":52.18,"ImdbClassification":87.42,"MassiveIntentClassification (en)":79.67,"MassiveScenarioClassification (en)":82.82,"MTOPDomainClassification (en)":96.16,"MTOPIntentClassification (en)":85.75,"ToxicConversationsClassification":71.91,"TweetSentimentExtractionClassification":62.4}
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34 |
{"index":258,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":77.17,"AmazonCounterfactualClassification (en)":79.66,"AmazonPolarityClassification":94.48,"AmazonReviewsClassification (en)":48.16,"Banking77Classification":88.91,"EmotionClassification":52.01,"ImdbClassification":89.47,"MassiveIntentClassification (en)":80.12,"MassiveScenarioClassification (en)":82.7,"MTOPDomainClassification (en)":96.46,"MTOPIntentClassification (en)":85.38,"ToxicConversationsClassification":66.18,"TweetSentimentExtractionClassification":62.54}
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@@ -44,8 +44,8 @@
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44 |
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|
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46 |
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47 |
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{"index":
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48 |
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{"index":
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49 |
{"index":25,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.97,"AmazonCounterfactualClassification (en)":75.85,"AmazonPolarityClassification":92.42,"AmazonReviewsClassification (en)":48.18,"Banking77Classification":87.79,"EmotionClassification":51.52,"ImdbClassification":92.85,"MassiveIntentClassification (en)":77.56,"MassiveScenarioClassification (en)":80.53,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.49,"ToxicConversationsClassification":70.91,"TweetSentimentExtractionClassification":59.94}
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50 |
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51 |
{"index":75,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":75.92,"AmazonCounterfactualClassification (en)":79.94,"AmazonPolarityClassification":86.07,"AmazonReviewsClassification (en)":46.84,"Banking77Classification":88.05,"EmotionClassification":51.2,"ImdbClassification":82.94,"MassiveIntentClassification (en)":79.8,"MassiveScenarioClassification (en)":81.52,"MTOPDomainClassification (en)":96.14,"MTOPIntentClassification (en)":86.11,"ToxicConversationsClassification":70.59,"TweetSentimentExtractionClassification":61.9}
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@@ -54,21 +54,21 @@
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54 |
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55 |
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56 |
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57 |
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{"index":
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58 |
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{"index":
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59 |
{"index":334,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":75.45,"AmazonCounterfactualClassification (en)":78.93,"AmazonPolarityClassification":92.85,"AmazonReviewsClassification (en)":48.7,"Banking77Classification":85.69,"EmotionClassification":51.58,"ImdbClassification":87.67,"MassiveIntentClassification (en)":74.64,"MassiveScenarioClassification (en)":79.79,"MTOPDomainClassification (en)":95.36,"MTOPIntentClassification (en)":75.07,"ToxicConversationsClassification":72.92,"TweetSentimentExtractionClassification":62.22}
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60 |
{"index":180,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":75.28,"AmazonCounterfactualClassification (en)":77.19,"AmazonPolarityClassification":93.26,"AmazonReviewsClassification (en)":49.61,"Banking77Classification":84.73,"EmotionClassification":54.47,"ImdbClassification":91.31,"MassiveIntentClassification (en)":73.88,"MassiveScenarioClassification (en)":78.28,"MTOPDomainClassification (en)":93.5,"MTOPIntentClassification (en)":71.06,"ToxicConversationsClassification":72.99,"TweetSentimentExtractionClassification":63.07}
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61 |
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{"index":
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63 |
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64 |
{"index":230,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.98,"AmazonCounterfactualClassification (en)":76.16,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":48.21,"Banking77Classification":86.35,"EmotionClassification":51.27,"ImdbClassification":89.72,"MassiveIntentClassification (en)":75.16,"MassiveScenarioClassification (en)":78.93,"MTOPDomainClassification (en)":93.95,"MTOPIntentClassification (en)":75.26,"ToxicConversationsClassification":72.12,"TweetSentimentExtractionClassification":59.67}
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65 |
{"index":8,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":74.79,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":96.41,"AmazonReviewsClassification (en)":57.06,"Banking77Classification":81.64,"EmotionClassification":48.29,"ImdbClassification":95.49,"MassiveIntentClassification (en)":71.29,"MassiveScenarioClassification (en)":76.74,"MTOPDomainClassification (en)":96.3,"MTOPIntentClassification (en)":67.93,"ToxicConversationsClassification":75.45,"TweetSentimentExtractionClassification":59.44}
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66 |
{"index":64,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":74.5,"AmazonCounterfactualClassification (en)":72.39,"AmazonPolarityClassification":93.71,"AmazonReviewsClassification (en)":50.85,"Banking77Classification":85.41,"EmotionClassification":55.93,"ImdbClassification":93.57,"MassiveIntentClassification (en)":73.88,"MassiveScenarioClassification (en)":77.42,"MTOPDomainClassification (en)":94.25,"MTOPIntentClassification (en)":67.51,"ToxicConversationsClassification":67.3,"TweetSentimentExtractionClassification":61.76}
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67 |
{"index":133,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.37,"AmazonCounterfactualClassification (en)":74.34,"AmazonPolarityClassification":93.05,"AmazonReviewsClassification (en)":46.08,"Banking77Classification":85.31,"EmotionClassification":48.95,"ImdbClassification":91.52,"MassiveIntentClassification (en)":75.83,"MassiveScenarioClassification (en)":78.73,"MTOPDomainClassification (en)":93.55,"MTOPIntentClassification (en)":75.72,"ToxicConversationsClassification":68.84,"TweetSentimentExtractionClassification":60.55}
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68 |
{"index":34,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.31,"AmazonCounterfactualClassification (en)":78.63,"AmazonPolarityClassification":94.8,"AmazonReviewsClassification (en)":51.02,"Banking77Classification":79.7,"EmotionClassification":52.74,"ImdbClassification":92.17,"MassiveIntentClassification (en)":70.01,"MassiveScenarioClassification (en)":76.34,"MTOPDomainClassification (en)":93.63,"MTOPIntentClassification (en)":64.93,"ToxicConversationsClassification":73.04,"TweetSentimentExtractionClassification":64.72}
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69 |
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70 |
{"index":314,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wangjinzzhong\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.14,"AmazonCounterfactualClassification (en)":73.79,"AmazonPolarityClassification":92.75,"AmazonReviewsClassification (en)":46.99,"Banking77Classification":85.74,"EmotionClassification":47.84,"ImdbClassification":90.61,"MassiveIntentClassification (en)":74.81,"MassiveScenarioClassification (en)":78.7,"MTOPDomainClassification (en)":93.36,"MTOPIntentClassification (en)":74.75,"ToxicConversationsClassification":69.89,"TweetSentimentExtractionClassification":60.51}
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73 |
{"index":236,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
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74 |
{"index":78,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":74.07,"AmazonCounterfactualClassification (en)":76.94,"AmazonPolarityClassification":85.29,"AmazonReviewsClassification (en)":47.09,"Banking77Classification":86.16,"EmotionClassification":48.88,"ImdbClassification":77.95,"MassiveIntentClassification (en)":76.65,"MassiveScenarioClassification (en)":79.99,"MTOPDomainClassification (en)":95.48,"MTOPIntentClassification (en)":82.84,"ToxicConversationsClassification":70.71,"TweetSentimentExtractionClassification":60.9}
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{"index":165,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":73.84,"AmazonCounterfactualClassification (en)":77.78,"AmazonPolarityClassification":92.81,"AmazonReviewsClassification (en)":46.71,"Banking77Classification":83.53,"EmotionClassification":46.95,"ImdbClassification":86.15,"MassiveIntentClassification (en)":73.04,"MassiveScenarioClassification (en)":77.65,"MTOPDomainClassification (en)":93.69,"MTOPIntentClassification (en)":75.31,"ToxicConversationsClassification":72.11,"TweetSentimentExtractionClassification":60.39}
|
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{"index":182,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.84,"AmazonCounterfactualClassification (en)":77.78,"AmazonPolarityClassification":92.81,"AmazonReviewsClassification (en)":46.71,"Banking77Classification":83.53,"EmotionClassification":46.95,"ImdbClassification":86.15,"MassiveIntentClassification (en)":73.04,"MassiveScenarioClassification (en)":77.65,"MTOPDomainClassification (en)":93.69,"MTOPIntentClassification (en)":75.31,"ToxicConversationsClassification":72.11,"TweetSentimentExtractionClassification":60.39}
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{"index":237,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.65,"AmazonCounterfactualClassification (en)":78.67,"AmazonPolarityClassification":90.41,"AmazonReviewsClassification (en)":47.81,"Banking77Classification":83.82,"EmotionClassification":48.81,"ImdbClassification":83.78,"MassiveIntentClassification (en)":72.76,"MassiveScenarioClassification (en)":76.7,"MTOPDomainClassification (en)":93.47,"MTOPIntentClassification (en)":75.27,"ToxicConversationsClassification":71.39,"TweetSentimentExtractionClassification":60.87}
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-
{"index":
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{"index":
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{"index":
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-
{"index":
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{"index":234,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.52,"AmazonCounterfactualClassification (en)":74.19,"AmazonPolarityClassification":91.89,"AmazonReviewsClassification (en)":46.72,"Banking77Classification":85.1,"EmotionClassification":46.84,"ImdbClassification":89.35,"MassiveIntentClassification (en)":74.01,"MassiveScenarioClassification (en)":77.96,"MTOPDomainClassification (en)":92.67,"MTOPIntentClassification (en)":74.03,"ToxicConversationsClassification":69.5,"TweetSentimentExtractionClassification":60.02}
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{"index":
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{"index":136,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/arkohut\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
|
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{"index":
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{"index":287,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.42,"AmazonCounterfactualClassification (en)":77.07,"AmazonPolarityClassification":92.79,"AmazonReviewsClassification (en)":48.93,"Banking77Classification":82.31,"EmotionClassification":48.57,"ImdbClassification":90.23,"MassiveIntentClassification (en)":73.44,"MassiveScenarioClassification (en)":74.82,"MTOPDomainClassification (en)":92.49,"MTOPIntentClassification (en)":68.33,"ToxicConversationsClassification":70.04,"TweetSentimentExtractionClassification":62.01}
|
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{"index":143,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/benayad7\/concat-e5-small-bge-small-01\">concat-e5-small-bge-small-01<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.33,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":93.0,"AmazonReviewsClassification (en)":48.8,"Banking77Classification":82.19,"EmotionClassification":50.26,"ImdbClassification":91.64,"MassiveIntentClassification (en)":73.43,"MassiveScenarioClassification (en)":77.04,"MTOPDomainClassification (en)":93.05,"MTOPIntentClassification (en)":67.77,"ToxicConversationsClassification":65.77,"TweetSentimentExtractionClassification":63.29}
|
90 |
{"index":299,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.33,"AmazonCounterfactualClassification (en)":72.63,"AmazonPolarityClassification":92.52,"AmazonReviewsClassification (en)":49.07,"Banking77Classification":86.06,"EmotionClassification":47.88,"ImdbClassification":88.46,"MassiveIntentClassification (en)":72.62,"MassiveScenarioClassification (en)":76.77,"MTOPDomainClassification (en)":93.51,"MTOPIntentClassification (en)":73.25,"ToxicConversationsClassification":70.56,"TweetSentimentExtractionClassification":56.58}
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@@ -136,8 +136,8 @@
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|
136 |
{"index":209,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.65,"AmazonCounterfactualClassification (en)":70.12,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":50.52,"Banking77Classification":75.59,"EmotionClassification":45.98,"ImdbClassification":90.22,"MassiveIntentClassification (en)":65.03,"MassiveScenarioClassification (en)":71.05,"MTOPDomainClassification (en)":88.63,"MTOPIntentClassification (en)":58.08,"ToxicConversationsClassification":69.33,"TweetSentimentExtractionClassification":58.25}
|
137 |
{"index":204,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
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{"index":21,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q2_K-GGUF\">jina-embeddings-v2-base-es-Q2_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
|
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-
{"index":
|
140 |
-
{"index":
|
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{"index":205,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":68.82,"AmazonCounterfactualClassification (en)":71.36,"AmazonPolarityClassification":82.9,"AmazonReviewsClassification (en)":40.89,"Banking77Classification":78.25,"EmotionClassification":44.01,"ImdbClassification":73.64,"MassiveIntentClassification (en)":67.61,"MassiveScenarioClassification (en)":69.75,"MTOPDomainClassification (en)":93.96,"MTOPIntentClassification (en)":72.5,"ToxicConversationsClassification":71.54,"TweetSentimentExtractionClassification":59.4}
|
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{"index":119,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":68.79,"AmazonCounterfactualClassification (en)":68.3,"AmazonPolarityClassification":90.31,"AmazonReviewsClassification (en)":46.27,"Banking77Classification":80.01,"EmotionClassification":43.67,"ImdbClassification":84.36,"MassiveIntentClassification (en)":66.69,"MassiveScenarioClassification (en)":73.06,"MTOPDomainClassification (en)":91.36,"MTOPIntentClassification (en)":60.64,"ToxicConversationsClassification":66.84,"TweetSentimentExtractionClassification":53.91}
|
143 |
{"index":235,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":68.55,"AmazonCounterfactualClassification (en)":70.72,"AmazonPolarityClassification":83.34,"AmazonReviewsClassification (en)":40.99,"Banking77Classification":81.25,"EmotionClassification":41.66,"ImdbClassification":74.81,"MassiveIntentClassification (en)":69.8,"MassiveScenarioClassification (en)":74.54,"MTOPDomainClassification (en)":91.22,"MTOPIntentClassification (en)":69.39,"ToxicConversationsClassification":67.44,"TweetSentimentExtractionClassification":57.48}
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@@ -148,8 +148,8 @@
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|
148 |
{"index":123,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":68.04,"AmazonCounterfactualClassification (en)":67.76,"AmazonPolarityClassification":79.75,"AmazonReviewsClassification (en)":37.45,"Banking77Classification":81.17,"EmotionClassification":44.53,"ImdbClassification":76.46,"MassiveIntentClassification (en)":68.58,"MassiveScenarioClassification (en)":73.92,"MTOPDomainClassification (en)":90.67,"MTOPIntentClassification (en)":68.29,"ToxicConversationsClassification":70.23,"TweetSentimentExtractionClassification":57.64}
|
149 |
{"index":118,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":68.01,"AmazonCounterfactualClassification (en)":78.48,"AmazonPolarityClassification":78.74,"AmazonReviewsClassification (en)":39.93,"Banking77Classification":80.26,"EmotionClassification":47.26,"ImdbClassification":71.79,"MassiveIntentClassification (en)":66.55,"MassiveScenarioClassification (en)":73.11,"MTOPDomainClassification (en)":93.04,"MTOPIntentClassification (en)":63.52,"ToxicConversationsClassification":66.74,"TweetSentimentExtractionClassification":56.73}
|
150 |
{"index":70,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
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151 |
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{"index":
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152 |
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{"index":
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153 |
{"index":307,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.9,"AmazonCounterfactualClassification (en)":76.19,"AmazonPolarityClassification":69.63,"AmazonReviewsClassification (en)":35.53,"Banking77Classification":78.13,"EmotionClassification":45.48,"ImdbClassification":64.06,"MassiveIntentClassification (en)":71.69,"MassiveScenarioClassification (en)":77.2,"MTOPDomainClassification (en)":92.94,"MTOPIntentClassification (en)":74.43,"ToxicConversationsClassification":70.17,"TweetSentimentExtractionClassification":59.31}
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154 |
{"index":81,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.9,"AmazonCounterfactualClassification (en)":71.87,"AmazonPolarityClassification":78.79,"AmazonReviewsClassification (en)":39.31,"Banking77Classification":80.58,"EmotionClassification":44.79,"ImdbClassification":71.53,"MassiveIntentClassification (en)":68.84,"MassiveScenarioClassification (en)":73.75,"MTOPDomainClassification (en)":90.79,"MTOPIntentClassification (en)":68.72,"ToxicConversationsClassification":66.29,"TweetSentimentExtractionClassification":59.49}
|
155 |
{"index":135,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"Average":67.8,"AmazonCounterfactualClassification (en)":68.75,"AmazonPolarityClassification":81.3,"AmazonReviewsClassification (en)":38.57,"Banking77Classification":79.98,"EmotionClassification":40.09,"ImdbClassification":80.09,"MassiveIntentClassification (en)":67.58,"MassiveScenarioClassification (en)":73.47,"MTOPDomainClassification (en)":90.36,"MTOPIntentClassification (en)":66.45,"ToxicConversationsClassification":69.34,"TweetSentimentExtractionClassification":57.6}
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@@ -157,8 +157,8 @@
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|
157 |
{"index":68,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.77,"AmazonCounterfactualClassification (en)":74.28,"AmazonPolarityClassification":82.2,"AmazonReviewsClassification (en)":40.22,"Banking77Classification":80.31,"EmotionClassification":40.81,"ImdbClassification":73.7,"MassiveIntentClassification (en)":68.86,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":89.73,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":62.52,"TweetSentimentExtractionClassification":59.6}
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158 |
{"index":200,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":67.76,"AmazonCounterfactualClassification (en)":68.93,"AmazonPolarityClassification":69.14,"AmazonReviewsClassification (en)":31.38,"Banking77Classification":85.34,"EmotionClassification":45.84,"ImdbClassification":66.42,"MassiveIntentClassification (en)":72.73,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":92.83,"MTOPIntentClassification (en)":76.09,"ToxicConversationsClassification":69.13,"TweetSentimentExtractionClassification":58.16}
|
159 |
{"index":80,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":67.67,"AmazonCounterfactualClassification (en)":72.93,"AmazonPolarityClassification":74.28,"AmazonReviewsClassification (en)":36.14,"Banking77Classification":79.0,"EmotionClassification":42.85,"ImdbClassification":71.92,"MassiveIntentClassification (en)":69.99,"MassiveScenarioClassification (en)":75.15,"MTOPDomainClassification (en)":91.24,"MTOPIntentClassification (en)":74.08,"ToxicConversationsClassification":68.4,"TweetSentimentExtractionClassification":56.08}
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160 |
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{"index":
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161 |
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{"index":
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162 |
{"index":283,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":67.46,"AmazonCounterfactualClassification (en)":75.81,"AmazonPolarityClassification":76.41,"AmazonReviewsClassification (en)":38.52,"Banking77Classification":81.1,"EmotionClassification":45.85,"ImdbClassification":64.58,"MassiveIntentClassification (en)":69.32,"MassiveScenarioClassification (en)":75.35,"MTOPDomainClassification (en)":89.24,"MTOPIntentClassification (en)":68.69,"ToxicConversationsClassification":65.56,"TweetSentimentExtractionClassification":59.04}
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163 |
{"index":279,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.41,"AmazonCounterfactualClassification (en)":67.3,"AmazonPolarityClassification":75.05,"AmazonReviewsClassification (en)":37.3,"Banking77Classification":82.32,"EmotionClassification":43.19,"ImdbClassification":70.8,"MassiveIntentClassification (en)":70.61,"MassiveScenarioClassification (en)":77.77,"MTOPDomainClassification (en)":93.84,"MTOPIntentClassification (en)":67.71,"ToxicConversationsClassification":68.48,"TweetSentimentExtractionClassification":54.54}
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164 |
{"index":253,"Rank":164,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.32,"AmazonCounterfactualClassification (en)":75.75,"AmazonPolarityClassification":82.47,"AmazonReviewsClassification (en)":39.6,"Banking77Classification":75.76,"EmotionClassification":44.81,"ImdbClassification":73.53,"MassiveIntentClassification (en)":65.95,"MassiveScenarioClassification (en)":70.78,"MTOPDomainClassification (en)":84.29,"MTOPIntentClassification (en)":63.14,"ToxicConversationsClassification":72.04,"TweetSentimentExtractionClassification":59.73}
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7 |
{"index":245,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.35,"AmazonCounterfactualClassification (en)":95.12,"AmazonPolarityClassification":97.14,"AmazonReviewsClassification (en)":55.47,"Banking77Classification":90.34,"EmotionClassification":91.7,"ImdbClassification":97.06,"MassiveIntentClassification (en)":80.07,"MassiveScenarioClassification (en)":81.74,"MTOPDomainClassification (en)":96.51,"MTOPIntentClassification (en)":89.77,"ToxicConversationsClassification":92.6,"TweetSentimentExtractionClassification":80.64}
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8 |
{"index":164,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":86.67,"AmazonCounterfactualClassification (en)":92.36,"AmazonPolarityClassification":97.19,"AmazonReviewsClassification (en)":59.53,"Banking77Classification":89.3,"EmotionClassification":78.77,"ImdbClassification":96.49,"MassiveIntentClassification (en)":85.17,"MassiveScenarioClassification (en)":89.62,"MTOPDomainClassification (en)":98.83,"MTOPIntentClassification (en)":92.3,"ToxicConversationsClassification":86.94,"TweetSentimentExtractionClassification":73.58}
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9 |
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11 |
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12 |
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13 |
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17 |
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18 |
{"index":69,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":80.2,"AmazonCounterfactualClassification (en)":84.43,"AmazonPolarityClassification":95.7,"AmazonReviewsClassification (en)":57.64,"Banking77Classification":87.88,"EmotionClassification":51.82,"ImdbClassification":94.78,"MassiveIntentClassification (en)":82.67,"MassiveScenarioClassification (en)":85.01,"MTOPDomainClassification (en)":96.83,"MTOPIntentClassification (en)":89.57,"ToxicConversationsClassification":71.29,"TweetSentimentExtractionClassification":64.76}
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19 |
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20 |
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{"index":297,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":79.46,"AmazonCounterfactualClassification (en)":81.18,"AmazonPolarityClassification":96.52,"AmazonReviewsClassification (en)":57.81,"Banking77Classification":88.47,"EmotionClassification":52.81,"ImdbClassification":95.0,"MassiveIntentClassification (en)":80.78,"MassiveScenarioClassification (en)":82.09,"MTOPDomainClassification (en)":96.16,"MTOPIntentClassification (en)":87.13,"ToxicConversationsClassification":70.8,"TweetSentimentExtractionClassification":64.78}
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21 |
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22 |
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23 |
{"index":0,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":79.0,"AmazonCounterfactualClassification (en)":70.93,"AmazonPolarityClassification":97.34,"AmazonReviewsClassification (en)":48.47,"Banking77Classification":86.01,"EmotionClassification":51.53,"ImdbClassification":95.7,"MassiveIntentClassification (en)":75.67,"MassiveScenarioClassification (en)":85.16,"MTOPDomainClassification (en)":98.02,"MTOPIntentClassification (en)":77.82,"ToxicConversationsClassification":88.33,"TweetSentimentExtractionClassification":72.97}
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24 |
{"index":320,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.77,"AmazonCounterfactualClassification (en)":77.76,"AmazonPolarityClassification":96.62,"AmazonReviewsClassification (en)":59.26,"Banking77Classification":83.11,"EmotionClassification":57.72,"ImdbClassification":95.5,"MassiveIntentClassification (en)":77.31,"MassiveScenarioClassification (en)":79.98,"MTOPDomainClassification (en)":96.35,"MTOPIntentClassification (en)":80.52,"ToxicConversationsClassification":75.88,"TweetSentimentExtractionClassification":65.22}
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27 |
{"index":53,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.44,"AmazonCounterfactualClassification (en)":76.67,"AmazonPolarityClassification":96.18,"AmazonReviewsClassification (en)":56.28,"Banking77Classification":88.64,"EmotionClassification":51.02,"ImdbClassification":94.88,"MassiveIntentClassification (en)":80.2,"MassiveScenarioClassification (en)":82.27,"MTOPDomainClassification (en)":95.85,"MTOPIntentClassification (en)":87.08,"ToxicConversationsClassification":68.43,"TweetSentimentExtractionClassification":63.83}
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28 |
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29 |
{"index":112,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.33,"AmazonCounterfactualClassification (en)":77.93,"AmazonPolarityClassification":95.97,"AmazonReviewsClassification (en)":54.35,"Banking77Classification":88.81,"EmotionClassification":50.24,"ImdbClassification":94.79,"MassiveIntentClassification (en)":79.99,"MassiveScenarioClassification (en)":82.2,"MTOPDomainClassification (en)":96.36,"MTOPIntentClassification (en)":86.3,"ToxicConversationsClassification":69.33,"TweetSentimentExtractionClassification":63.64}
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30 |
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{"index":252,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":77.75,"AmazonCounterfactualClassification (en)":73.01,"AmazonPolarityClassification":93.97,"AmazonReviewsClassification (en)":54.2,"Banking77Classification":87.33,"EmotionClassification":46.77,"ImdbClassification":92.1,"MassiveIntentClassification (en)":78.94,"MassiveScenarioClassification (en)":81.41,"MTOPDomainClassification (en)":96.6,"MTOPIntentClassification (en)":82.9,"ToxicConversationsClassification":82.61,"TweetSentimentExtractionClassification":63.16}
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31 |
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{"index":19,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":77.75,"AmazonCounterfactualClassification (en)":73.01,"AmazonPolarityClassification":93.97,"AmazonReviewsClassification (en)":54.2,"Banking77Classification":87.33,"EmotionClassification":46.77,"ImdbClassification":92.1,"MassiveIntentClassification (en)":78.94,"MassiveScenarioClassification (en)":81.41,"MTOPDomainClassification (en)":96.6,"MTOPIntentClassification (en)":82.9,"ToxicConversationsClassification":82.61,"TweetSentimentExtractionClassification":63.16}
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32 |
{"index":207,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":77.43,"AmazonCounterfactualClassification (en)":82.97,"AmazonPolarityClassification":90.98,"AmazonReviewsClassification (en)":48.71,"Banking77Classification":88.15,"EmotionClassification":52.18,"ImdbClassification":87.42,"MassiveIntentClassification (en)":79.67,"MassiveScenarioClassification (en)":82.82,"MTOPDomainClassification (en)":96.16,"MTOPIntentClassification (en)":85.75,"ToxicConversationsClassification":71.91,"TweetSentimentExtractionClassification":62.4}
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33 |
{"index":185,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":77.37,"AmazonCounterfactualClassification (en)":74.57,"AmazonPolarityClassification":96.26,"AmazonReviewsClassification (en)":55.97,"Banking77Classification":81.41,"EmotionClassification":58.42,"ImdbClassification":94.73,"MassiveIntentClassification (en)":77.0,"MassiveScenarioClassification (en)":79.13,"MTOPDomainClassification (en)":95.33,"MTOPIntentClassification (en)":78.99,"ToxicConversationsClassification":71.75,"TweetSentimentExtractionClassification":64.89}
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34 |
{"index":258,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":77.17,"AmazonCounterfactualClassification (en)":79.66,"AmazonPolarityClassification":94.48,"AmazonReviewsClassification (en)":48.16,"Banking77Classification":88.91,"EmotionClassification":52.01,"ImdbClassification":89.47,"MassiveIntentClassification (en)":80.12,"MassiveScenarioClassification (en)":82.7,"MTOPDomainClassification (en)":96.46,"MTOPIntentClassification (en)":85.38,"ToxicConversationsClassification":66.18,"TweetSentimentExtractionClassification":62.54}
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44 |
{"index":212,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.99,"AmazonCounterfactualClassification (en)":76.06,"AmazonPolarityClassification":91.98,"AmazonReviewsClassification (en)":47.94,"Banking77Classification":87.9,"EmotionClassification":52.03,"ImdbClassification":92.79,"MassiveIntentClassification (en)":77.41,"MassiveScenarioClassification (en)":80.45,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.26,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.0}
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45 |
{"index":113,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.99,"AmazonCounterfactualClassification (en)":76.06,"AmazonPolarityClassification":91.98,"AmazonReviewsClassification (en)":47.94,"Banking77Classification":87.9,"EmotionClassification":52.03,"ImdbClassification":92.79,"MassiveIntentClassification (en)":77.41,"MassiveScenarioClassification (en)":80.45,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.26,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.0}
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46 |
{"index":178,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.97,"AmazonCounterfactualClassification (en)":75.85,"AmazonPolarityClassification":92.42,"AmazonReviewsClassification (en)":48.18,"Banking77Classification":87.79,"EmotionClassification":51.52,"ImdbClassification":92.85,"MassiveIntentClassification (en)":77.56,"MassiveScenarioClassification (en)":80.53,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.49,"ToxicConversationsClassification":70.91,"TweetSentimentExtractionClassification":59.94}
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47 |
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{"index":259,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.97,"AmazonCounterfactualClassification (en)":75.85,"AmazonPolarityClassification":92.42,"AmazonReviewsClassification (en)":48.18,"Banking77Classification":87.79,"EmotionClassification":51.52,"ImdbClassification":92.85,"MassiveIntentClassification (en)":77.56,"MassiveScenarioClassification (en)":80.53,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.49,"ToxicConversationsClassification":70.91,"TweetSentimentExtractionClassification":59.94}
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48 |
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{"index":260,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.97,"AmazonCounterfactualClassification (en)":75.85,"AmazonPolarityClassification":92.42,"AmazonReviewsClassification (en)":48.18,"Banking77Classification":87.79,"EmotionClassification":51.52,"ImdbClassification":92.85,"MassiveIntentClassification (en)":77.56,"MassiveScenarioClassification (en)":80.53,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.49,"ToxicConversationsClassification":70.91,"TweetSentimentExtractionClassification":59.94}
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49 |
{"index":25,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.97,"AmazonCounterfactualClassification (en)":75.85,"AmazonPolarityClassification":92.42,"AmazonReviewsClassification (en)":48.18,"Banking77Classification":87.79,"EmotionClassification":51.52,"ImdbClassification":92.85,"MassiveIntentClassification (en)":77.56,"MassiveScenarioClassification (en)":80.53,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.49,"ToxicConversationsClassification":70.91,"TweetSentimentExtractionClassification":59.94}
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50 |
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51 |
{"index":75,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":75.92,"AmazonCounterfactualClassification (en)":79.94,"AmazonPolarityClassification":86.07,"AmazonReviewsClassification (en)":46.84,"Banking77Classification":88.05,"EmotionClassification":51.2,"ImdbClassification":82.94,"MassiveIntentClassification (en)":79.8,"MassiveScenarioClassification (en)":81.52,"MTOPDomainClassification (en)":96.14,"MTOPIntentClassification (en)":86.11,"ToxicConversationsClassification":70.59,"TweetSentimentExtractionClassification":61.9}
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54 |
{"index":293,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/smcleod\/mxbai-embed-large-v1-Q8_0-GGUF\">mxbai-embed-large-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.64,"AmazonCounterfactualClassification (en)":75.04,"AmazonPolarityClassification":93.84,"AmazonReviewsClassification (en)":49.18,"Banking77Classification":87.82,"EmotionClassification":50.88,"ImdbClassification":92.83,"MassiveIntentClassification (en)":76.24,"MassiveScenarioClassification (en)":79.95,"MTOPDomainClassification (en)":93.95,"MTOPIntentClassification (en)":76.79,"ToxicConversationsClassification":71.48,"TweetSentimentExtractionClassification":59.71}
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55 |
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56 |
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57 |
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{"index":142,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.53,"AmazonCounterfactualClassification (en)":76.15,"AmazonPolarityClassification":93.39,"AmazonReviewsClassification (en)":48.85,"Banking77Classification":86.95,"EmotionClassification":51.9,"ImdbClassification":90.81,"MassiveIntentClassification (en)":76.15,"MassiveScenarioClassification (en)":80.16,"MTOPDomainClassification (en)":94.17,"MTOPIntentClassification (en)":76.91,"ToxicConversationsClassification":71.58,"TweetSentimentExtractionClassification":59.38}
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58 |
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59 |
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60 |
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61 |
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62 |
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63 |
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64 |
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65 |
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66 |
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67 |
{"index":133,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.37,"AmazonCounterfactualClassification (en)":74.34,"AmazonPolarityClassification":93.05,"AmazonReviewsClassification (en)":46.08,"Banking77Classification":85.31,"EmotionClassification":48.95,"ImdbClassification":91.52,"MassiveIntentClassification (en)":75.83,"MassiveScenarioClassification (en)":78.73,"MTOPDomainClassification (en)":93.55,"MTOPIntentClassification (en)":75.72,"ToxicConversationsClassification":68.84,"TweetSentimentExtractionClassification":60.55}
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68 |
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69 |
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{"index":28,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":74.14,"AmazonCounterfactualClassification (en)":73.79,"AmazonPolarityClassification":92.75,"AmazonReviewsClassification (en)":46.99,"Banking77Classification":85.74,"EmotionClassification":47.84,"ImdbClassification":90.61,"MassiveIntentClassification (en)":74.81,"MassiveScenarioClassification (en)":78.7,"MTOPDomainClassification (en)":93.36,"MTOPIntentClassification (en)":74.75,"ToxicConversationsClassification":69.89,"TweetSentimentExtractionClassification":60.51}
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70 |
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71 |
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72 |
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73 |
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74 |
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77 |
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78 |
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79 |
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80 |
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{"index":109,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
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81 |
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82 |
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{"index":127,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
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83 |
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{"index":322,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
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84 |
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|
85 |
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{"index":313,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
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86 |
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87 |
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90 |
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136 |
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137 |
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138 |
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139 |
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{"index":22,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q4_K_M-GGUF\">jina-embeddings-v2-base-es-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
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140 |
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{"index":251,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
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141 |
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142 |
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143 |
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148 |
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149 |
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150 |
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151 |
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152 |
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{"index":147,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
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153 |
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154 |
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155 |
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157 |
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158 |
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159 |
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160 |
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{"index":88,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v3\">gte-micro-v3<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
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161 |
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{"index":87,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v2\">gte-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
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162 |
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163 |
{"index":279,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.41,"AmazonCounterfactualClassification (en)":67.3,"AmazonPolarityClassification":75.05,"AmazonReviewsClassification (en)":37.3,"Banking77Classification":82.32,"EmotionClassification":43.19,"ImdbClassification":70.8,"MassiveIntentClassification (en)":70.61,"MassiveScenarioClassification (en)":77.77,"MTOPDomainClassification (en)":93.84,"MTOPIntentClassification (en)":67.71,"ToxicConversationsClassification":68.48,"TweetSentimentExtractionClassification":54.54}
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164 |
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boards_data/en/data_tasks/Clustering/default.jsonl
CHANGED
@@ -6,26 +6,26 @@
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|
6 |
{"index":111,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":56.17,"ArxivClusteringP2P":54.02,"ArxivClusteringS2S":48.82,"BiorxivClusteringP2P":50.76,"BiorxivClusteringS2S":46.57,"MedrxivClusteringP2P":46.66,"MedrxivClusteringS2S":44.18,"RedditClustering":62.92,"RedditClusteringP2P":72.74,"StackExchangeClustering":76.48,"StackExchangeClusteringP2P":48.29,"TwentyNewsgroupsClustering":66.42}
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7 |
{"index":15,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.83,"ArxivClusteringP2P":56.4,"ArxivClusteringS2S":51.45,"BiorxivClusteringP2P":49.01,"BiorxivClusteringS2S":45.06,"MedrxivClusteringP2P":44.37,"MedrxivClusteringS2S":42.0,"RedditClustering":73.37,"RedditClusteringP2P":72.51,"StackExchangeClustering":79.07,"StackExchangeClusteringP2P":49.57,"TwentyNewsgroupsClustering":51.31}
|
8 |
{"index":27,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":54.65,"ArxivClusteringP2P":54.91,"ArxivClusteringS2S":50.28,"BiorxivClusteringP2P":52.64,"BiorxivClusteringS2S":49.2,"MedrxivClusteringP2P":45.81,"MedrxivClusteringS2S":44.11,"RedditClustering":56.03,"RedditClusteringP2P":65.83,"StackExchangeClustering":66.21,"StackExchangeClusteringP2P":45.74,"TwentyNewsgroupsClustering":70.44}
|
9 |
-
{"index":177,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.
|
10 |
{"index":6,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":53.35,"ArxivClusteringP2P":51.81,"ArxivClusteringS2S":44.73,"BiorxivClusteringP2P":46.07,"BiorxivClusteringS2S":40.64,"MedrxivClusteringP2P":42.94,"MedrxivClusteringS2S":41.44,"RedditClustering":68.5,"RedditClusteringP2P":64.86,"StackExchangeClustering":74.16,"StackExchangeClusteringP2P":45.1,"TwentyNewsgroupsClustering":66.62}
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11 |
{"index":245,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":52.8,"ArxivClusteringP2P":53.76,"ArxivClusteringS2S":49.59,"BiorxivClusteringP2P":48.15,"BiorxivClusteringS2S":44.74,"MedrxivClusteringP2P":39.24,"MedrxivClusteringS2S":36.98,"RedditClustering":63.2,"RedditClusteringP2P":68.01,"StackExchangeClustering":74.99,"StackExchangeClusteringP2P":42.04,"TwentyNewsgroupsClustering":60.13}
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12 |
{"index":9,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":52.42,"ArxivClusteringP2P":51.95,"ArxivClusteringS2S":42.48,"BiorxivClusteringP2P":50.15,"BiorxivClusteringS2S":42.84,"MedrxivClusteringP2P":47.24,"MedrxivClusteringS2S":43.48,"RedditClustering":63.73,"RedditClusteringP2P":64.09,"StackExchangeClustering":70.71,"StackExchangeClusteringP2P":40.34,"TwentyNewsgroupsClustering":59.56}
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13 |
{"index":320,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.89,"ArxivClusteringP2P":52.03,"ArxivClusteringS2S":47.83,"BiorxivClusteringP2P":43.74,"BiorxivClusteringS2S":40.74,"MedrxivClusteringP2P":38.38,"MedrxivClusteringS2S":37.67,"RedditClustering":61.88,"RedditClusteringP2P":68.3,"StackExchangeClustering":75.91,"StackExchangeClusteringP2P":47.17,"TwentyNewsgroupsClustering":57.15}
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14 |
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{"index":
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15 |
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{"index":
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16 |
{"index":69,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.42,"ArxivClusteringP2P":51.48,"ArxivClusteringS2S":47.3,"BiorxivClusteringP2P":42.73,"BiorxivClusteringS2S":39.58,"MedrxivClusteringP2P":37.84,"MedrxivClusteringS2S":36.65,"RedditClustering":61.52,"RedditClusteringP2P":68.24,"StackExchangeClustering":76.94,"StackExchangeClusteringP2P":46.04,"TwentyNewsgroupsClustering":57.3}
|
17 |
{"index":50,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-max-instruct-v1\">KaLM-embedding-multilingual-max-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":50.71,"ArxivClusteringP2P":52.69,"ArxivClusteringS2S":47.13,"BiorxivClusteringP2P":42.52,"BiorxivClusteringS2S":39.48,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":34.93,"RedditClustering":59.97,"RedditClusteringP2P":70.0,"StackExchangeClustering":74.6,"StackExchangeClusteringP2P":46.89,"TwentyNewsgroupsClustering":52.15}
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18 |
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{"index":
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19 |
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{"index":
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20 |
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{"index":
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21 |
{"index":185,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.26,"ArxivClusteringP2P":50.45,"ArxivClusteringS2S":45.5,"BiorxivClusteringP2P":43.53,"BiorxivClusteringS2S":40.24,"MedrxivClusteringP2P":38.19,"MedrxivClusteringS2S":37.45,"RedditClustering":57.71,"RedditClusteringP2P":66.49,"StackExchangeClustering":73.1,"StackExchangeClusteringP2P":45.91,"TwentyNewsgroupsClustering":54.31}
|
22 |
{"index":49,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.14,"ArxivClusteringP2P":50.72,"ArxivClusteringS2S":48.01,"BiorxivClusteringP2P":41.41,"BiorxivClusteringS2S":38.67,"MedrxivClusteringP2P":36.54,"MedrxivClusteringS2S":37.24,"RedditClustering":63.01,"RedditClusteringP2P":65.86,"StackExchangeClustering":74.41,"StackExchangeClusteringP2P":38.52,"TwentyNewsgroupsClustering":57.16}
|
23 |
{"index":53,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":49.28,"ArxivClusteringP2P":51.12,"ArxivClusteringS2S":47.02,"BiorxivClusteringP2P":42.0,"BiorxivClusteringS2S":39.62,"MedrxivClusteringP2P":36.95,"MedrxivClusteringS2S":36.28,"RedditClustering":57.93,"RedditClusteringP2P":65.29,"StackExchangeClustering":71.59,"StackExchangeClusteringP2P":39.01,"TwentyNewsgroupsClustering":55.25}
|
24 |
{"index":334,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":49.01,"ArxivClusteringP2P":49.01,"ArxivClusteringS2S":44.45,"BiorxivClusteringP2P":38.03,"BiorxivClusteringS2S":36.53,"MedrxivClusteringP2P":32.7,"MedrxivClusteringS2S":31.27,"RedditClustering":67.84,"RedditClusteringP2P":67.96,"StackExchangeClustering":76.26,"StackExchangeClusteringP2P":36.88,"TwentyNewsgroupsClustering":58.14}
|
25 |
{"index":16,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":48.75,"ArxivClusteringP2P":50.51,"ArxivClusteringS2S":45.01,"BiorxivClusteringP2P":43.21,"BiorxivClusteringS2S":38.82,"MedrxivClusteringP2P":39.39,"MedrxivClusteringS2S":37.9,"RedditClustering":55.82,"RedditClusteringP2P":62.09,"StackExchangeClustering":67.65,"StackExchangeClusteringP2P":46.31,"TwentyNewsgroupsClustering":49.58}
|
26 |
{"index":208,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.32,"ArxivClusteringP2P":48.63,"ArxivClusteringS2S":40.52,"BiorxivClusteringP2P":44.9,"BiorxivClusteringS2S":37.9,"MedrxivClusteringP2P":37.67,"MedrxivClusteringS2S":35.51,"RedditClustering":59.36,"RedditClusteringP2P":64.46,"StackExchangeClustering":66.77,"StackExchangeClusteringP2P":38.9,"TwentyNewsgroupsClustering":56.91}
|
27 |
-
{"index":
|
28 |
-
{"index":
|
29 |
{"index":258,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.86,"ArxivClusteringP2P":48.78,"ArxivClusteringS2S":46.11,"BiorxivClusteringP2P":38.79,"BiorxivClusteringS2S":37.37,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":32.33,"RedditClustering":62.16,"RedditClusteringP2P":65.96,"StackExchangeClustering":71.35,"StackExchangeClusteringP2P":36.11,"TwentyNewsgroupsClustering":54.78}
|
30 |
{"index":1,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":47.48,"ArxivClusteringP2P":46.27,"ArxivClusteringS2S":38.36,"BiorxivClusteringP2P":37.87,"BiorxivClusteringS2S":35.67,"MedrxivClusteringP2P":33.11,"MedrxivClusteringS2S":31.54,"RedditClustering":65.81,"RedditClusteringP2P":66.62,"StackExchangeClustering":74.52,"StackExchangeClusteringP2P":37.63,"TwentyNewsgroupsClustering":54.87}
|
31 |
{"index":35,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.43,"ArxivClusteringP2P":49.17,"ArxivClusteringS2S":42.18,"BiorxivClusteringP2P":40.96,"BiorxivClusteringS2S":37.25,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":33.39,"RedditClustering":58.46,"RedditClusteringP2P":66.35,"StackExchangeClustering":68.42,"StackExchangeClusteringP2P":37.51,"TwentyNewsgroupsClustering":50.64}
|
@@ -37,9 +37,9 @@
|
|
37 |
{"index":18,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.82,"ArxivClusteringP2P":47.51,"ArxivClusteringS2S":42.05,"BiorxivClusteringP2P":40.32,"BiorxivClusteringS2S":37.55,"MedrxivClusteringP2P":34.6,"MedrxivClusteringS2S":32.27,"RedditClustering":58.61,"RedditClusteringP2P":66.87,"StackExchangeClustering":68.93,"StackExchangeClusteringP2P":37.6,"TwentyNewsgroupsClustering":48.75}
|
38 |
{"index":125,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.73,"ArxivClusteringP2P":49.03,"ArxivClusteringS2S":43.09,"BiorxivClusteringP2P":39.38,"BiorxivClusteringS2S":37.23,"MedrxivClusteringP2P":33.22,"MedrxivClusteringS2S":31.18,"RedditClustering":60.52,"RedditClusteringP2P":65.35,"StackExchangeClustering":66.54,"StackExchangeClusteringP2P":36.72,"TwentyNewsgroupsClustering":51.72}
|
39 |
{"index":227,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
40 |
-
{"index":
|
41 |
-
{"index":
|
42 |
-
{"index":
|
43 |
{"index":335,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":46.65,"ArxivClusteringP2P":46.57,"ArxivClusteringS2S":39.35,"BiorxivClusteringP2P":37.77,"BiorxivClusteringS2S":34.68,"MedrxivClusteringP2P":32.77,"MedrxivClusteringS2S":31.85,"RedditClustering":64.09,"RedditClusteringP2P":65.12,"StackExchangeClustering":72.05,"StackExchangeClusteringP2P":34.04,"TwentyNewsgroupsClustering":54.81}
|
44 |
{"index":198,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.61,"ArxivClusteringP2P":48.73,"ArxivClusteringS2S":42.87,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":37.24,"MedrxivClusteringP2P":34.31,"MedrxivClusteringS2S":32.18,"RedditClustering":59.43,"RedditClusteringP2P":64.54,"StackExchangeClustering":65.08,"StackExchangeClusteringP2P":35.52,"TwentyNewsgroupsClustering":53.12}
|
45 |
{"index":37,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":46.6,"ArxivClusteringP2P":48.16,"ArxivClusteringS2S":40.79,"BiorxivClusteringP2P":40.5,"BiorxivClusteringS2S":36.91,"MedrxivClusteringP2P":36.18,"MedrxivClusteringS2S":33.44,"RedditClustering":58.11,"RedditClusteringP2P":65.02,"StackExchangeClustering":68.12,"StackExchangeClusteringP2P":35.22,"TwentyNewsgroupsClustering":50.14}
|
@@ -52,14 +52,14 @@
|
|
52 |
{"index":298,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.2,"ArxivClusteringP2P":48.6,"ArxivClusteringS2S":43.01,"BiorxivClusteringP2P":38.2,"BiorxivClusteringS2S":36.59,"MedrxivClusteringP2P":33.17,"MedrxivClusteringS2S":31.77,"RedditClustering":59.33,"RedditClusteringP2P":62.59,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":36.0,"TwentyNewsgroupsClustering":52.31}
|
53 |
{"index":178,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
54 |
{"index":259,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
55 |
-
{"index":
|
56 |
-
{"index":
|
57 |
{"index":226,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
|
58 |
{"index":332,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
|
59 |
{"index":23,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
|
60 |
{"index":142,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
61 |
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{"index":
|
62 |
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{"index":
|
63 |
{"index":77,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
|
64 |
{"index":51,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":45.46,"ArxivClusteringP2P":48.01,"ArxivClusteringS2S":39.4,"BiorxivClusteringP2P":40.01,"BiorxivClusteringS2S":33.79,"MedrxivClusteringP2P":35.54,"MedrxivClusteringS2S":32.7,"RedditClustering":55.17,"RedditClusteringP2P":64.4,"StackExchangeClustering":65.94,"StackExchangeClusteringP2P":35.59,"TwentyNewsgroupsClustering":49.55}
|
65 |
{"index":52,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":45.37,"ArxivClusteringP2P":47.08,"ArxivClusteringS2S":39.12,"BiorxivClusteringP2P":39.3,"BiorxivClusteringS2S":33.96,"MedrxivClusteringP2P":33.84,"MedrxivClusteringS2S":32.43,"RedditClustering":57.63,"RedditClusteringP2P":65.1,"StackExchangeClustering":67.22,"StackExchangeClusteringP2P":33.7,"TwentyNewsgroupsClustering":49.68}
|
@@ -83,13 +83,13 @@
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|
83 |
{"index":184,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.26,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":36.72,"BiorxivClusteringS2S":35.47,"MedrxivClusteringP2P":31.45,"MedrxivClusteringS2S":29.91,"RedditClustering":55.5,"RedditClusteringP2P":63.71,"StackExchangeClustering":65.23,"StackExchangeClusteringP2P":33.62,"TwentyNewsgroupsClustering":48.73}
|
84 |
{"index":182,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.1,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.12,"BiorxivClusteringS2S":33.41,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":29.68,"RedditClustering":56.54,"RedditClusteringP2P":63.23,"StackExchangeClustering":64.6,"StackExchangeClusteringP2P":33.02,"TwentyNewsgroupsClustering":49.86}
|
85 |
{"index":109,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
86 |
-
{"index":
|
87 |
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{"index":
|
88 |
-
{"index":
|
89 |
{"index":236,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
90 |
-
{"index":
|
91 |
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{"index":
|
92 |
-
{"index":
|
93 |
{"index":165,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
|
94 |
{"index":287,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.72,"ArxivClusteringP2P":42.89,"ArxivClusteringS2S":33.47,"BiorxivClusteringP2P":36.53,"BiorxivClusteringS2S":28.66,"MedrxivClusteringP2P":32.09,"MedrxivClusteringS2S":26.82,"RedditClustering":58.99,"RedditClusteringP2P":64.46,"StackExchangeClustering":70.78,"StackExchangeClusteringP2P":35.25,"TwentyNewsgroupsClustering":50.93}
|
95 |
{"index":241,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":43.71,"ArxivClusteringP2P":45.45,"ArxivClusteringS2S":36.19,"BiorxivClusteringP2P":38.41,"BiorxivClusteringS2S":32.28,"MedrxivClusteringP2P":34.47,"MedrxivClusteringS2S":31.43,"RedditClustering":55.9,"RedditClusteringP2P":60.58,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":49.36}
|
@@ -154,10 +154,10 @@
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|
154 |
{"index":89,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
|
155 |
{"index":138,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.48,"ArxivClusteringP2P":45.31,"ArxivClusteringS2S":35.45,"BiorxivClusteringP2P":38.38,"BiorxivClusteringS2S":31.09,"MedrxivClusteringP2P":33.35,"MedrxivClusteringS2S":29.79,"RedditClustering":44.12,"RedditClusteringP2P":48.68,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":33.91,"TwentyNewsgroupsClustering":41.13}
|
156 |
{"index":122,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.46,"ArxivClusteringP2P":44.6,"ArxivClusteringS2S":34.48,"BiorxivClusteringP2P":37.13,"BiorxivClusteringS2S":29.72,"MedrxivClusteringP2P":31.98,"MedrxivClusteringS2S":29.26,"RedditClustering":45.27,"RedditClusteringP2P":54.47,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":34.67,"TwentyNewsgroupsClustering":39.37}
|
157 |
-
{"index":
|
158 |
-
{"index":
|
159 |
-
{"index":
|
160 |
-
{"index":
|
161 |
{"index":123,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.18,"ArxivClusteringP2P":44.53,"ArxivClusteringS2S":33.25,"BiorxivClusteringP2P":36.11,"BiorxivClusteringS2S":28.06,"MedrxivClusteringP2P":31.56,"MedrxivClusteringS2S":28.13,"RedditClustering":45.46,"RedditClusteringP2P":55.16,"StackExchangeClustering":54.51,"StackExchangeClusteringP2P":34.07,"TwentyNewsgroupsClustering":40.19}
|
162 |
{"index":68,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.16,"ArxivClusteringP2P":41.76,"ArxivClusteringS2S":31.63,"BiorxivClusteringP2P":36.01,"BiorxivClusteringS2S":28.77,"MedrxivClusteringP2P":31.27,"MedrxivClusteringS2S":28.97,"RedditClustering":47.39,"RedditClusteringP2P":58.38,"StackExchangeClustering":52.47,"StackExchangeClusteringP2P":33.63,"TwentyNewsgroupsClustering":40.52}
|
163 |
{"index":194,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":39.11,"ArxivClusteringP2P":44.52,"ArxivClusteringS2S":34.45,"BiorxivClusteringP2P":35.25,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":29.43,"MedrxivClusteringS2S":28.87,"RedditClustering":44.52,"RedditClusteringP2P":53.61,"StackExchangeClustering":57.11,"StackExchangeClusteringP2P":31.91,"TwentyNewsgroupsClustering":39.8}
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|
6 |
{"index":111,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":56.17,"ArxivClusteringP2P":54.02,"ArxivClusteringS2S":48.82,"BiorxivClusteringP2P":50.76,"BiorxivClusteringS2S":46.57,"MedrxivClusteringP2P":46.66,"MedrxivClusteringS2S":44.18,"RedditClustering":62.92,"RedditClusteringP2P":72.74,"StackExchangeClustering":76.48,"StackExchangeClusteringP2P":48.29,"TwentyNewsgroupsClustering":66.42}
|
7 |
{"index":15,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.83,"ArxivClusteringP2P":56.4,"ArxivClusteringS2S":51.45,"BiorxivClusteringP2P":49.01,"BiorxivClusteringS2S":45.06,"MedrxivClusteringP2P":44.37,"MedrxivClusteringS2S":42.0,"RedditClustering":73.37,"RedditClusteringP2P":72.51,"StackExchangeClustering":79.07,"StackExchangeClusteringP2P":49.57,"TwentyNewsgroupsClustering":51.31}
|
8 |
{"index":27,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":54.65,"ArxivClusteringP2P":54.91,"ArxivClusteringS2S":50.28,"BiorxivClusteringP2P":52.64,"BiorxivClusteringS2S":49.2,"MedrxivClusteringP2P":45.81,"MedrxivClusteringS2S":44.11,"RedditClustering":56.03,"RedditClusteringP2P":65.83,"StackExchangeClustering":66.21,"StackExchangeClusteringP2P":45.74,"TwentyNewsgroupsClustering":70.44}
|
9 |
+
{"index":177,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.36,"ArxivClusteringP2P":54.27,"ArxivClusteringS2S":49.82,"BiorxivClusteringP2P":47.22,"BiorxivClusteringS2S":43.9,"MedrxivClusteringP2P":41.54,"MedrxivClusteringS2S":40.54,"RedditClustering":65.92,"RedditClusteringP2P":68.02,"StackExchangeClustering":76.99,"StackExchangeClusteringP2P":45.16,"TwentyNewsgroupsClustering":64.6}
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10 |
{"index":6,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":53.35,"ArxivClusteringP2P":51.81,"ArxivClusteringS2S":44.73,"BiorxivClusteringP2P":46.07,"BiorxivClusteringS2S":40.64,"MedrxivClusteringP2P":42.94,"MedrxivClusteringS2S":41.44,"RedditClustering":68.5,"RedditClusteringP2P":64.86,"StackExchangeClustering":74.16,"StackExchangeClusteringP2P":45.1,"TwentyNewsgroupsClustering":66.62}
|
11 |
{"index":245,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":52.8,"ArxivClusteringP2P":53.76,"ArxivClusteringS2S":49.59,"BiorxivClusteringP2P":48.15,"BiorxivClusteringS2S":44.74,"MedrxivClusteringP2P":39.24,"MedrxivClusteringS2S":36.98,"RedditClustering":63.2,"RedditClusteringP2P":68.01,"StackExchangeClustering":74.99,"StackExchangeClusteringP2P":42.04,"TwentyNewsgroupsClustering":60.13}
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12 |
{"index":9,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":52.42,"ArxivClusteringP2P":51.95,"ArxivClusteringS2S":42.48,"BiorxivClusteringP2P":50.15,"BiorxivClusteringS2S":42.84,"MedrxivClusteringP2P":47.24,"MedrxivClusteringS2S":43.48,"RedditClustering":63.73,"RedditClusteringP2P":64.09,"StackExchangeClustering":70.71,"StackExchangeClusteringP2P":40.34,"TwentyNewsgroupsClustering":59.56}
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13 |
{"index":320,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.89,"ArxivClusteringP2P":52.03,"ArxivClusteringS2S":47.83,"BiorxivClusteringP2P":43.74,"BiorxivClusteringS2S":40.74,"MedrxivClusteringP2P":38.38,"MedrxivClusteringS2S":37.67,"RedditClustering":61.88,"RedditClusteringP2P":68.3,"StackExchangeClustering":75.91,"StackExchangeClusteringP2P":47.17,"TwentyNewsgroupsClustering":57.15}
|
14 |
+
{"index":151,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/compressa-ai\/Compressa-Embeddings\">Compressa-Embeddings<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.67,"ArxivClusteringP2P":52.08,"ArxivClusteringS2S":47.38,"BiorxivClusteringP2P":43.94,"BiorxivClusteringS2S":41.14,"MedrxivClusteringP2P":40.03,"MedrxivClusteringS2S":39.0,"RedditClustering":59.9,"RedditClusteringP2P":67.64,"StackExchangeClustering":74.25,"StackExchangeClusteringP2P":46.78,"TwentyNewsgroupsClustering":56.27}
|
15 |
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{"index":112,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.67,"ArxivClusteringP2P":52.08,"ArxivClusteringS2S":47.38,"BiorxivClusteringP2P":43.94,"BiorxivClusteringS2S":41.14,"MedrxivClusteringP2P":40.03,"MedrxivClusteringS2S":39.0,"RedditClustering":59.9,"RedditClusteringP2P":67.64,"StackExchangeClustering":74.25,"StackExchangeClusteringP2P":46.78,"TwentyNewsgroupsClustering":56.27}
|
16 |
{"index":69,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":51.42,"ArxivClusteringP2P":51.48,"ArxivClusteringS2S":47.3,"BiorxivClusteringP2P":42.73,"BiorxivClusteringS2S":39.58,"MedrxivClusteringP2P":37.84,"MedrxivClusteringS2S":36.65,"RedditClustering":61.52,"RedditClusteringP2P":68.24,"StackExchangeClustering":76.94,"StackExchangeClusteringP2P":46.04,"TwentyNewsgroupsClustering":57.3}
|
17 |
{"index":50,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-max-instruct-v1\">KaLM-embedding-multilingual-max-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":50.71,"ArxivClusteringP2P":52.69,"ArxivClusteringS2S":47.13,"BiorxivClusteringP2P":42.52,"BiorxivClusteringS2S":39.48,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":34.93,"RedditClustering":59.97,"RedditClusteringP2P":70.0,"StackExchangeClustering":74.6,"StackExchangeClusteringP2P":46.89,"TwentyNewsgroupsClustering":52.15}
|
18 |
+
{"index":48,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":50.61,"ArxivClusteringP2P":51.67,"ArxivClusteringS2S":48.11,"BiorxivClusteringP2P":40.87,"BiorxivClusteringS2S":39.8,"MedrxivClusteringP2P":36.52,"MedrxivClusteringS2S":36.8,"RedditClustering":61.3,"RedditClusteringP2P":67.26,"StackExchangeClustering":77.33,"StackExchangeClusteringP2P":41.33,"TwentyNewsgroupsClustering":55.7}
|
19 |
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{"index":297,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":50.61,"ArxivClusteringP2P":51.67,"ArxivClusteringS2S":48.11,"BiorxivClusteringP2P":40.87,"BiorxivClusteringS2S":39.8,"MedrxivClusteringP2P":36.52,"MedrxivClusteringS2S":36.8,"RedditClustering":61.3,"RedditClusteringP2P":67.26,"StackExchangeClustering":77.33,"StackExchangeClusteringP2P":41.33,"TwentyNewsgroupsClustering":55.7}
|
20 |
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{"index":30,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":50.61,"ArxivClusteringP2P":51.67,"ArxivClusteringS2S":48.11,"BiorxivClusteringP2P":40.87,"BiorxivClusteringS2S":39.8,"MedrxivClusteringP2P":36.52,"MedrxivClusteringS2S":36.8,"RedditClustering":61.3,"RedditClusteringP2P":67.26,"StackExchangeClustering":77.33,"StackExchangeClusteringP2P":41.33,"TwentyNewsgroupsClustering":55.7}
|
21 |
{"index":185,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.26,"ArxivClusteringP2P":50.45,"ArxivClusteringS2S":45.5,"BiorxivClusteringP2P":43.53,"BiorxivClusteringS2S":40.24,"MedrxivClusteringP2P":38.19,"MedrxivClusteringS2S":37.45,"RedditClustering":57.71,"RedditClusteringP2P":66.49,"StackExchangeClustering":73.1,"StackExchangeClusteringP2P":45.91,"TwentyNewsgroupsClustering":54.31}
|
22 |
{"index":49,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.14,"ArxivClusteringP2P":50.72,"ArxivClusteringS2S":48.01,"BiorxivClusteringP2P":41.41,"BiorxivClusteringS2S":38.67,"MedrxivClusteringP2P":36.54,"MedrxivClusteringS2S":37.24,"RedditClustering":63.01,"RedditClusteringP2P":65.86,"StackExchangeClustering":74.41,"StackExchangeClusteringP2P":38.52,"TwentyNewsgroupsClustering":57.16}
|
23 |
{"index":53,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":49.28,"ArxivClusteringP2P":51.12,"ArxivClusteringS2S":47.02,"BiorxivClusteringP2P":42.0,"BiorxivClusteringS2S":39.62,"MedrxivClusteringP2P":36.95,"MedrxivClusteringS2S":36.28,"RedditClustering":57.93,"RedditClusteringP2P":65.29,"StackExchangeClustering":71.59,"StackExchangeClusteringP2P":39.01,"TwentyNewsgroupsClustering":55.25}
|
24 |
{"index":334,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":49.01,"ArxivClusteringP2P":49.01,"ArxivClusteringS2S":44.45,"BiorxivClusteringP2P":38.03,"BiorxivClusteringS2S":36.53,"MedrxivClusteringP2P":32.7,"MedrxivClusteringS2S":31.27,"RedditClustering":67.84,"RedditClusteringP2P":67.96,"StackExchangeClustering":76.26,"StackExchangeClusteringP2P":36.88,"TwentyNewsgroupsClustering":58.14}
|
25 |
{"index":16,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":48.75,"ArxivClusteringP2P":50.51,"ArxivClusteringS2S":45.01,"BiorxivClusteringP2P":43.21,"BiorxivClusteringS2S":38.82,"MedrxivClusteringP2P":39.39,"MedrxivClusteringS2S":37.9,"RedditClustering":55.82,"RedditClusteringP2P":62.09,"StackExchangeClustering":67.65,"StackExchangeClusteringP2P":46.31,"TwentyNewsgroupsClustering":49.58}
|
26 |
{"index":208,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.32,"ArxivClusteringP2P":48.63,"ArxivClusteringS2S":40.52,"BiorxivClusteringP2P":44.9,"BiorxivClusteringS2S":37.9,"MedrxivClusteringP2P":37.67,"MedrxivClusteringS2S":35.51,"RedditClustering":59.36,"RedditClusteringP2P":64.46,"StackExchangeClustering":66.77,"StackExchangeClusteringP2P":38.9,"TwentyNewsgroupsClustering":56.91}
|
27 |
+
{"index":19,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":47.96,"ArxivClusteringP2P":48.47,"ArxivClusteringS2S":43.39,"BiorxivClusteringP2P":40.58,"BiorxivClusteringS2S":37.94,"MedrxivClusteringP2P":35.04,"MedrxivClusteringS2S":32.94,"RedditClustering":59.76,"RedditClusteringP2P":68.03,"StackExchangeClustering":71.27,"StackExchangeClusteringP2P":39.18,"TwentyNewsgroupsClustering":50.91}
|
28 |
+
{"index":252,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":47.96,"ArxivClusteringP2P":48.47,"ArxivClusteringS2S":43.39,"BiorxivClusteringP2P":40.58,"BiorxivClusteringS2S":37.94,"MedrxivClusteringP2P":35.04,"MedrxivClusteringS2S":32.94,"RedditClustering":59.76,"RedditClusteringP2P":68.03,"StackExchangeClustering":71.27,"StackExchangeClusteringP2P":39.18,"TwentyNewsgroupsClustering":50.91}
|
29 |
{"index":258,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.86,"ArxivClusteringP2P":48.78,"ArxivClusteringS2S":46.11,"BiorxivClusteringP2P":38.79,"BiorxivClusteringS2S":37.37,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":32.33,"RedditClustering":62.16,"RedditClusteringP2P":65.96,"StackExchangeClustering":71.35,"StackExchangeClusteringP2P":36.11,"TwentyNewsgroupsClustering":54.78}
|
30 |
{"index":1,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":47.48,"ArxivClusteringP2P":46.27,"ArxivClusteringS2S":38.36,"BiorxivClusteringP2P":37.87,"BiorxivClusteringS2S":35.67,"MedrxivClusteringP2P":33.11,"MedrxivClusteringS2S":31.54,"RedditClustering":65.81,"RedditClusteringP2P":66.62,"StackExchangeClustering":74.52,"StackExchangeClusteringP2P":37.63,"TwentyNewsgroupsClustering":54.87}
|
31 |
{"index":35,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.43,"ArxivClusteringP2P":49.17,"ArxivClusteringS2S":42.18,"BiorxivClusteringP2P":40.96,"BiorxivClusteringS2S":37.25,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":33.39,"RedditClustering":58.46,"RedditClusteringP2P":66.35,"StackExchangeClustering":68.42,"StackExchangeClusteringP2P":37.51,"TwentyNewsgroupsClustering":50.64}
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|
|
37 |
{"index":18,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.82,"ArxivClusteringP2P":47.51,"ArxivClusteringS2S":42.05,"BiorxivClusteringP2P":40.32,"BiorxivClusteringS2S":37.55,"MedrxivClusteringP2P":34.6,"MedrxivClusteringS2S":32.27,"RedditClustering":58.61,"RedditClusteringP2P":66.87,"StackExchangeClustering":68.93,"StackExchangeClusteringP2P":37.6,"TwentyNewsgroupsClustering":48.75}
|
38 |
{"index":125,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.73,"ArxivClusteringP2P":49.03,"ArxivClusteringS2S":43.09,"BiorxivClusteringP2P":39.38,"BiorxivClusteringS2S":37.23,"MedrxivClusteringP2P":33.22,"MedrxivClusteringS2S":31.18,"RedditClustering":60.52,"RedditClusteringP2P":65.35,"StackExchangeClustering":66.54,"StackExchangeClusteringP2P":36.72,"TwentyNewsgroupsClustering":51.72}
|
39 |
{"index":227,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
40 |
+
{"index":166,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/elliotsayes\/mxbai-embed-large-v1-Q4_K_M-GGUF\">mxbai-embed-large-v1-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
41 |
+
{"index":293,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/smcleod\/mxbai-embed-large-v1-Q8_0-GGUF\">mxbai-embed-large-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
42 |
+
{"index":294,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/stellarator\/mxbai-embed-large-v1-Q5_K_M-GGUF\">mxbai-embed-large-v1-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
43 |
{"index":335,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":46.65,"ArxivClusteringP2P":46.57,"ArxivClusteringS2S":39.35,"BiorxivClusteringP2P":37.77,"BiorxivClusteringS2S":34.68,"MedrxivClusteringP2P":32.77,"MedrxivClusteringS2S":31.85,"RedditClustering":64.09,"RedditClusteringP2P":65.12,"StackExchangeClustering":72.05,"StackExchangeClusteringP2P":34.04,"TwentyNewsgroupsClustering":54.81}
|
44 |
{"index":198,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.61,"ArxivClusteringP2P":48.73,"ArxivClusteringS2S":42.87,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":37.24,"MedrxivClusteringP2P":34.31,"MedrxivClusteringS2S":32.18,"RedditClustering":59.43,"RedditClusteringP2P":64.54,"StackExchangeClustering":65.08,"StackExchangeClusteringP2P":35.52,"TwentyNewsgroupsClustering":53.12}
|
45 |
{"index":37,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":46.6,"ArxivClusteringP2P":48.16,"ArxivClusteringS2S":40.79,"BiorxivClusteringP2P":40.5,"BiorxivClusteringS2S":36.91,"MedrxivClusteringP2P":36.18,"MedrxivClusteringS2S":33.44,"RedditClustering":58.11,"RedditClusteringP2P":65.02,"StackExchangeClustering":68.12,"StackExchangeClusteringP2P":35.22,"TwentyNewsgroupsClustering":50.14}
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|
52 |
{"index":298,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.2,"ArxivClusteringP2P":48.6,"ArxivClusteringS2S":43.01,"BiorxivClusteringP2P":38.2,"BiorxivClusteringS2S":36.59,"MedrxivClusteringP2P":33.17,"MedrxivClusteringS2S":31.77,"RedditClustering":59.33,"RedditClusteringP2P":62.59,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":36.0,"TwentyNewsgroupsClustering":52.31}
|
53 |
{"index":178,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
54 |
{"index":259,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
55 |
+
{"index":260,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
56 |
+
{"index":25,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
57 |
{"index":226,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
|
58 |
{"index":332,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
|
59 |
{"index":23,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
|
60 |
{"index":142,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
61 |
+
{"index":212,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
|
62 |
+
{"index":113,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
|
63 |
{"index":77,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
|
64 |
{"index":51,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":45.46,"ArxivClusteringP2P":48.01,"ArxivClusteringS2S":39.4,"BiorxivClusteringP2P":40.01,"BiorxivClusteringS2S":33.79,"MedrxivClusteringP2P":35.54,"MedrxivClusteringS2S":32.7,"RedditClustering":55.17,"RedditClusteringP2P":64.4,"StackExchangeClustering":65.94,"StackExchangeClusteringP2P":35.59,"TwentyNewsgroupsClustering":49.55}
|
65 |
{"index":52,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":45.37,"ArxivClusteringP2P":47.08,"ArxivClusteringS2S":39.12,"BiorxivClusteringP2P":39.3,"BiorxivClusteringS2S":33.96,"MedrxivClusteringP2P":33.84,"MedrxivClusteringS2S":32.43,"RedditClustering":57.63,"RedditClusteringP2P":65.1,"StackExchangeClustering":67.22,"StackExchangeClusteringP2P":33.7,"TwentyNewsgroupsClustering":49.68}
|
|
|
83 |
{"index":184,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.26,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":36.72,"BiorxivClusteringS2S":35.47,"MedrxivClusteringP2P":31.45,"MedrxivClusteringS2S":29.91,"RedditClustering":55.5,"RedditClusteringP2P":63.71,"StackExchangeClustering":65.23,"StackExchangeClusteringP2P":33.62,"TwentyNewsgroupsClustering":48.73}
|
84 |
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boards_data/en/data_tasks/PairClassification/default.jsonl
CHANGED
@@ -1,8 +1,8 @@
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1 |
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@@ -17,25 +17,25 @@
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17 |
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{"index":
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{"index":
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28 |
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{"index":
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29 |
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30 |
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31 |
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32 |
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33 |
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{"index":
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34 |
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|
39 |
{"index":310,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.07,"SprintDuplicateQuestions":96.87,"TwitterSemEval2015":78.24,"TwitterURLCorpus":86.11}
|
40 |
{"index":245,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":86.91,"SprintDuplicateQuestions":95.94,"TwitterSemEval2015":78.73,"TwitterURLCorpus":86.05}
|
41 |
{"index":9,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.87,"SprintDuplicateQuestions":98.07,"TwitterSemEval2015":74.44,"TwitterURLCorpus":88.11}
|
@@ -45,8 +45,8 @@
|
|
45 |
{"index":176,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.62,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":77.99,"TwitterURLCorpus":86.93}
|
46 |
{"index":303,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Sheared-LLaMA\">BinGSE-Sheared-LLaMA<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.61,"SprintDuplicateQuestions":95.98,"TwitterSemEval2015":77.13,"TwitterURLCorpus":86.71}
|
47 |
{"index":8,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.57,"SprintDuplicateQuestions":96.01,"TwitterSemEval2015":76.87,"TwitterURLCorpus":86.84}
|
48 |
-
{"index":
|
49 |
-
{"index":
|
50 |
{"index":180,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.45,"SprintDuplicateQuestions":95.69,"TwitterSemEval2015":77.67,"TwitterURLCorpus":86.0}
|
51 |
{"index":50,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-max-instruct-v1\">KaLM-embedding-multilingual-max-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.37,"SprintDuplicateQuestions":95.96,"TwitterSemEval2015":76.09,"TwitterURLCorpus":87.06}
|
52 |
{"index":137,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.32,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.11}
|
@@ -61,19 +61,19 @@
|
|
61 |
{"index":63,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
62 |
{"index":184,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
63 |
{"index":183,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
64 |
-
{"index":
|
65 |
-
{"index":
|
66 |
{"index":27,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
67 |
{"index":35,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
68 |
{"index":17,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
|
69 |
-
{"index":
|
70 |
-
{"index":
|
71 |
{"index":334,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":85.72,"SprintDuplicateQuestions":92.25,"TwitterSemEval2015":77.13,"TwitterURLCorpus":87.78}
|
72 |
{"index":67,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
|
73 |
{"index":316,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.41,"SprintDuplicateQuestions":95.02,"TwitterSemEval2015":75.24,"TwitterURLCorpus":85.96}
|
74 |
{"index":197,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":85.4,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":73.81,"TwitterURLCorpus":86.78}
|
75 |
-
{"index":
|
76 |
-
{"index":
|
77 |
{"index":203,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
78 |
{"index":18,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
79 |
{"index":277,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
@@ -91,9 +91,9 @@
|
|
91 |
{"index":141,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.99,"SprintDuplicateQuestions":96.14,"TwitterSemEval2015":73.48,"TwitterURLCorpus":85.36}
|
92 |
{"index":285,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.97,"SprintDuplicateQuestions":89.02,"TwitterSemEval2015":79.75,"TwitterURLCorpus":86.14}
|
93 |
{"index":49,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"SprintDuplicateQuestions":91.24,"TwitterSemEval2015":77.21,"TwitterURLCorpus":86.45}
|
94 |
-
{"index":
|
95 |
-
{"index":
|
96 |
-
{"index":
|
97 |
{"index":332,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
98 |
{"index":200,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.8,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":72.32,"TwitterURLCorpus":85.98}
|
99 |
{"index":189,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.75,"SprintDuplicateQuestions":93.14,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
@@ -103,17 +103,17 @@
|
|
103 |
{"index":208,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.69,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":72.88,"TwitterURLCorpus":85.88}
|
104 |
{"index":140,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.68,"SprintDuplicateQuestions":95.79,"TwitterSemEval2015":72.95,"TwitterURLCorpus":85.3}
|
105 |
{"index":187,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.67,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":73.34,"TwitterURLCorpus":85.79}
|
106 |
-
{"index":
|
107 |
-
{"index":
|
108 |
-
{"index":
|
109 |
{"index":109,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
110 |
{"index":241,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":92.91,"TwitterSemEval2015":74.3,"TwitterURLCorpus":86.57}
|
111 |
{"index":237,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":94.83,"TwitterSemEval2015":72.55,"TwitterURLCorpus":86.38}
|
112 |
{"index":298,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.57,"SprintDuplicateQuestions":95.71,"TwitterSemEval2015":72.47,"TwitterURLCorpus":85.52}
|
113 |
-
{"index":
|
114 |
{"index":21,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q2_K-GGUF\">jina-embeddings-v2-base-es-Q2_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
115 |
-
{"index":
|
116 |
-
{"index":
|
117 |
{"index":19,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
118 |
{"index":252,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
119 |
{"index":145,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.48,"SprintDuplicateQuestions":97.32,"TwitterSemEval2015":70.29,"TwitterURLCorpus":85.83}
|
@@ -130,8 +130,8 @@
|
|
130 |
{"index":276,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.85,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":72.23,"TwitterURLCorpus":84.77}
|
131 |
{"index":133,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.78,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":71.08,"TwitterURLCorpus":83.72}
|
132 |
{"index":238,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.67,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":69.68,"TwitterURLCorpus":85.41}
|
133 |
-
{"index":
|
134 |
-
{"index":
|
135 |
{"index":70,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
136 |
{"index":318,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
137 |
{"index":188,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.57,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
|
@@ -145,8 +145,8 @@
|
|
145 |
{"index":271,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.87,"TwitterURLCorpus":85.11}
|
146 |
{"index":199,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
147 |
{"index":68,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.95,"SprintDuplicateQuestions":94.38,"TwitterSemEval2015":67.98,"TwitterURLCorpus":86.48}
|
148 |
-
{"index":
|
149 |
-
{"index":
|
150 |
{"index":123,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
151 |
{"index":191,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.73,"SprintDuplicateQuestions":92.42,"TwitterSemEval2015":70.75,"TwitterURLCorpus":85.03}
|
152 |
{"index":81,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
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|
|
1 |
{"index":6,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":89.25,"SprintDuplicateQuestions":94.53,"TwitterSemEval2015":86.32,"TwitterURLCorpus":86.9}
|
2 |
{"index":302,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Meta-Llama-3-8B-Instruct\">BinGSE-Meta-Llama-3-8B-Instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":88.84,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":82.39,"TwitterURLCorpus":87.6}
|
3 |
{"index":246,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.67,"SprintDuplicateQuestions":97.02,"TwitterSemEval2015":81.11,"TwitterURLCorpus":87.87}
|
4 |
+
{"index":112,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.54,"SprintDuplicateQuestions":96.31,"TwitterSemEval2015":81.52,"TwitterURLCorpus":87.78}
|
5 |
+
{"index":151,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/compressa-ai\/Compressa-Embeddings\">Compressa-Embeddings<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.54,"SprintDuplicateQuestions":96.31,"TwitterSemEval2015":81.52,"TwitterURLCorpus":87.78}
|
6 |
{"index":185,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.42,"SprintDuplicateQuestions":95.86,"TwitterSemEval2015":81.62,"TwitterURLCorpus":87.79}
|
7 |
{"index":69,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.35,"SprintDuplicateQuestions":96.11,"TwitterSemEval2015":81.52,"TwitterURLCorpus":87.42}
|
8 |
{"index":258,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":88.27,"SprintDuplicateQuestions":96.52,"TwitterSemEval2015":81.35,"TwitterURLCorpus":86.94}
|
|
|
17 |
{"index":164,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":87.74,"SprintDuplicateQuestions":95.59,"TwitterSemEval2015":80.18,"TwitterURLCorpus":87.46}
|
18 |
{"index":1,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":87.61,"SprintDuplicateQuestions":96.26,"TwitterSemEval2015":79.04,"TwitterURLCorpus":87.53}
|
19 |
{"index":16,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":87.51,"SprintDuplicateQuestions":95.32,"TwitterSemEval2015":79.64,"TwitterURLCorpus":87.58}
|
20 |
+
{"index":15,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.41,"SprintDuplicateQuestions":96.07,"TwitterSemEval2015":79.36,"TwitterURLCorpus":86.79}
|
21 |
+
{"index":212,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
22 |
{"index":113,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
23 |
+
{"index":207,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.34,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":79.93,"TwitterURLCorpus":87.5}
|
24 |
+
{"index":48,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":87.29,"SprintDuplicateQuestions":93.35,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.43}
|
25 |
{"index":0,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":87.29,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":78.25,"TwitterURLCorpus":87.12}
|
26 |
+
{"index":177,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.28,"SprintDuplicateQuestions":97.04,"TwitterSemEval2015":78.93,"TwitterURLCorpus":85.87}
|
27 |
{"index":125,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.25,"SprintDuplicateQuestions":97.24,"TwitterSemEval2015":78.17,"TwitterURLCorpus":86.33}
|
28 |
+
{"index":293,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/smcleod\/mxbai-embed-large-v1-Q8_0-GGUF\">mxbai-embed-large-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
29 |
+
{"index":227,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
30 |
+
{"index":294,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/stellarator\/mxbai-embed-large-v1-Q5_K_M-GGUF\">mxbai-embed-large-v1-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
31 |
+
{"index":166,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/elliotsayes\/mxbai-embed-large-v1-Q4_K_M-GGUF\">mxbai-embed-large-v1-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
32 |
+
{"index":30,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.16,"SprintDuplicateQuestions":93.0,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.4}
|
33 |
+
{"index":297,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.16,"SprintDuplicateQuestions":93.0,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.4}
|
34 |
{"index":64,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.14,"SprintDuplicateQuestions":96.97,"TwitterSemEval2015":78.29,"TwitterURLCorpus":86.16}
|
35 |
{"index":178,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
36 |
+
{"index":259,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
37 |
+
{"index":25,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
38 |
+
{"index":260,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
39 |
{"index":310,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.07,"SprintDuplicateQuestions":96.87,"TwitterSemEval2015":78.24,"TwitterURLCorpus":86.11}
|
40 |
{"index":245,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":86.91,"SprintDuplicateQuestions":95.94,"TwitterSemEval2015":78.73,"TwitterURLCorpus":86.05}
|
41 |
{"index":9,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.87,"SprintDuplicateQuestions":98.07,"TwitterSemEval2015":74.44,"TwitterURLCorpus":88.11}
|
|
|
45 |
{"index":176,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.62,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":77.99,"TwitterURLCorpus":86.93}
|
46 |
{"index":303,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Sheared-LLaMA\">BinGSE-Sheared-LLaMA<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.61,"SprintDuplicateQuestions":95.98,"TwitterSemEval2015":77.13,"TwitterURLCorpus":86.71}
|
47 |
{"index":8,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.57,"SprintDuplicateQuestions":96.01,"TwitterSemEval2015":76.87,"TwitterURLCorpus":86.84}
|
48 |
+
{"index":23,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
49 |
+
{"index":142,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
50 |
{"index":180,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.45,"SprintDuplicateQuestions":95.69,"TwitterSemEval2015":77.67,"TwitterURLCorpus":86.0}
|
51 |
{"index":50,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-max-instruct-v1\">KaLM-embedding-multilingual-max-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.37,"SprintDuplicateQuestions":95.96,"TwitterSemEval2015":76.09,"TwitterURLCorpus":87.06}
|
52 |
{"index":137,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.32,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.11}
|
|
|
61 |
{"index":63,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
62 |
{"index":184,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
63 |
{"index":183,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
64 |
+
{"index":226,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.89,"SprintDuplicateQuestions":96.05,"TwitterSemEval2015":76.08,"TwitterURLCorpus":85.54}
|
65 |
+
{"index":175,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.89,"SprintDuplicateQuestions":93.07,"TwitterSemEval2015":77.42,"TwitterURLCorpus":87.18}
|
66 |
{"index":27,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
67 |
{"index":35,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
68 |
{"index":17,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
|
69 |
+
{"index":182,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
|
70 |
+
{"index":165,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
|
71 |
{"index":334,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":85.72,"SprintDuplicateQuestions":92.25,"TwitterSemEval2015":77.13,"TwitterURLCorpus":87.78}
|
72 |
{"index":67,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
|
73 |
{"index":316,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.41,"SprintDuplicateQuestions":95.02,"TwitterSemEval2015":75.24,"TwitterURLCorpus":85.96}
|
74 |
{"index":197,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":85.4,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":73.81,"TwitterURLCorpus":86.78}
|
75 |
+
{"index":136,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/arkohut\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
76 |
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{"index":313,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
77 |
{"index":203,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
78 |
{"index":18,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
79 |
{"index":277,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
|
|
91 |
{"index":141,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.99,"SprintDuplicateQuestions":96.14,"TwitterSemEval2015":73.48,"TwitterURLCorpus":85.36}
|
92 |
{"index":285,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.97,"SprintDuplicateQuestions":89.02,"TwitterSemEval2015":79.75,"TwitterURLCorpus":86.14}
|
93 |
{"index":49,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"SprintDuplicateQuestions":91.24,"TwitterSemEval2015":77.21,"TwitterURLCorpus":86.45}
|
94 |
+
{"index":28,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
95 |
+
{"index":54,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HowardC\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
96 |
+
{"index":314,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wangjinzzhong\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
97 |
{"index":332,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
98 |
{"index":200,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.8,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":72.32,"TwitterURLCorpus":85.98}
|
99 |
{"index":189,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.75,"SprintDuplicateQuestions":93.14,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
|
|
103 |
{"index":208,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.69,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":72.88,"TwitterURLCorpus":85.88}
|
104 |
{"index":140,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.68,"SprintDuplicateQuestions":95.79,"TwitterSemEval2015":72.95,"TwitterURLCorpus":85.3}
|
105 |
{"index":187,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.67,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":73.34,"TwitterURLCorpus":85.79}
|
106 |
+
{"index":243,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
107 |
+
{"index":322,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
108 |
+
{"index":127,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
109 |
{"index":109,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
110 |
{"index":241,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":92.91,"TwitterSemEval2015":74.3,"TwitterURLCorpus":86.57}
|
111 |
{"index":237,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":94.83,"TwitterSemEval2015":72.55,"TwitterURLCorpus":86.38}
|
112 |
{"index":298,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.57,"SprintDuplicateQuestions":95.71,"TwitterSemEval2015":72.47,"TwitterURLCorpus":85.52}
|
113 |
+
{"index":22,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q4_K_M-GGUF\">jina-embeddings-v2-base-es-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
114 |
{"index":21,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q2_K-GGUF\">jina-embeddings-v2-base-es-Q2_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
115 |
+
{"index":204,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
116 |
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{"index":251,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
117 |
{"index":19,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
118 |
{"index":252,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
119 |
{"index":145,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.48,"SprintDuplicateQuestions":97.32,"TwitterSemEval2015":70.29,"TwitterURLCorpus":85.83}
|
|
|
130 |
{"index":276,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.85,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":72.23,"TwitterURLCorpus":84.77}
|
131 |
{"index":133,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.78,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":71.08,"TwitterURLCorpus":83.72}
|
132 |
{"index":238,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.67,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":69.68,"TwitterURLCorpus":85.41}
|
133 |
+
{"index":202,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
134 |
+
{"index":147,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
135 |
{"index":70,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
136 |
{"index":318,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
137 |
{"index":188,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.57,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
|
|
|
145 |
{"index":271,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.87,"TwitterURLCorpus":85.11}
|
146 |
{"index":199,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
147 |
{"index":68,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.95,"SprintDuplicateQuestions":94.38,"TwitterSemEval2015":67.98,"TwitterURLCorpus":86.48}
|
148 |
+
{"index":311,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.83,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":71.07,"TwitterURLCorpus":84.4}
|
149 |
+
{"index":124,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.83,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.17,"TwitterURLCorpus":84.84}
|
150 |
{"index":123,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
151 |
{"index":191,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.73,"SprintDuplicateQuestions":92.42,"TwitterSemEval2015":70.75,"TwitterURLCorpus":85.03}
|
152 |
{"index":81,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
|
boards_data/en/data_tasks/Reranking/default.jsonl
CHANGED
@@ -2,30 +2,30 @@
|
|
2 |
{"index":163,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_1.5B_v5\">stella_en_1.5B_v5<\/a>","Model Size (Million Parameters)":1543,"Memory Usage (GB, fp32)":5.75,"Embedding Dimensions":8192,"Max Tokens":131072,"Average":61.21,"AskUbuntuDupQuestions":67.33,"MindSmallReranking":33.05,"SciDocsRR":89.2,"StackOverflowDupQuestions":55.25}
|
3 |
{"index":53,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.76,"AskUbuntuDupQuestions":67.23,"MindSmallReranking":33.36,"SciDocsRR":87.29,"StackOverflowDupQuestions":55.17}
|
4 |
{"index":246,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.65,"AskUbuntuDupQuestions":67.46,"MindSmallReranking":31.76,"SciDocsRR":87.59,"StackOverflowDupQuestions":55.79}
|
5 |
-
{"index":
|
6 |
-
{"index":
|
7 |
{"index":245,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.54,"AskUbuntuDupQuestions":67.5,"MindSmallReranking":30.82,"SciDocsRR":87.26,"StackOverflowDupQuestions":56.58}
|
8 |
{"index":297,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.49,"AskUbuntuDupQuestions":67.34,"MindSmallReranking":31.81,"SciDocsRR":86.84,"StackOverflowDupQuestions":55.96}
|
9 |
{"index":30,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.49,"AskUbuntuDupQuestions":67.34,"MindSmallReranking":31.81,"SciDocsRR":86.84,"StackOverflowDupQuestions":55.96}
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10 |
{"index":48,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":60.48,"AskUbuntuDupQuestions":67.37,"MindSmallReranking":31.81,"SciDocsRR":86.82,"StackOverflowDupQuestions":55.94}
|
11 |
{"index":258,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.46,"AskUbuntuDupQuestions":66.73,"MindSmallReranking":32.51,"SciDocsRR":87.03,"StackOverflowDupQuestions":55.55}
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12 |
{"index":69,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.29,"AskUbuntuDupQuestions":66.82,"MindSmallReranking":32.06,"SciDocsRR":86.4,"StackOverflowDupQuestions":55.89}
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13 |
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{"index":
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14 |
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{"index":
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15 |
{"index":164,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":60.16,"AskUbuntuDupQuestions":66.15,"MindSmallReranking":33.05,"SciDocsRR":88.44,"StackOverflowDupQuestions":52.99}
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16 |
{"index":111,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.14,"AskUbuntuDupQuestions":66.71,"MindSmallReranking":31.26,"SciDocsRR":87.29,"StackOverflowDupQuestions":55.32}
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17 |
{"index":15,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.13,"AskUbuntuDupQuestions":66.0,"MindSmallReranking":32.71,"SciDocsRR":87.89,"StackOverflowDupQuestions":53.93}
|
18 |
{"index":227,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.11,"AskUbuntuDupQuestions":65.16,"MindSmallReranking":32.54,"SciDocsRR":87.53,"StackOverflowDupQuestions":55.22}
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19 |
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{"index":
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20 |
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{"index":
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21 |
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{"index":
|
22 |
{"index":6,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":60.09,"AskUbuntuDupQuestions":64.92,"MindSmallReranking":30.97,"SciDocsRR":89.34,"StackOverflowDupQuestions":55.11}
|
23 |
{"index":139,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.05,"AskUbuntuDupQuestions":64.7,"MindSmallReranking":32.82,"SciDocsRR":87.8,"StackOverflowDupQuestions":54.88}
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24 |
-
{"index":
|
25 |
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{"index":
|
26 |
{"index":260,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
27 |
-
{"index":
|
28 |
-
{"index":
|
29 |
{"index":259,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
30 |
{"index":310,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.0,"AskUbuntuDupQuestions":64.42,"MindSmallReranking":32.78,"SciDocsRR":87.61,"StackOverflowDupQuestions":55.19}
|
31 |
{"index":16,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":59.98,"AskUbuntuDupQuestions":64.55,"MindSmallReranking":33.94,"SciDocsRR":86.52,"StackOverflowDupQuestions":54.91}
|
@@ -48,25 +48,25 @@
|
|
48 |
{"index":226,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
|
49 |
{"index":190,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":58.92,"AskUbuntuDupQuestions":64.41,"MindSmallReranking":33.07,"SciDocsRR":85.75,"StackOverflowDupQuestions":52.45}
|
50 |
{"index":1,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":58.9,"AskUbuntuDupQuestions":64.4,"MindSmallReranking":33.07,"SciDocsRR":83.59,"StackOverflowDupQuestions":54.56}
|
51 |
-
{"index":
|
52 |
-
{"index":
|
53 |
{"index":180,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.78,"AskUbuntuDupQuestions":62.72,"MindSmallReranking":31.91,"SciDocsRR":86.66,"StackOverflowDupQuestions":53.81}
|
54 |
{"index":298,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.61,"AskUbuntuDupQuestions":61.8,"MindSmallReranking":32.54,"SciDocsRR":87.08,"StackOverflowDupQuestions":53.01}
|
55 |
{"index":140,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.56,"AskUbuntuDupQuestions":62.33,"MindSmallReranking":32.36,"SciDocsRR":86.48,"StackOverflowDupQuestions":53.06}
|
56 |
-
{"index":
|
57 |
-
{"index":
|
58 |
{"index":269,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.44,"AskUbuntuDupQuestions":64.06,"MindSmallReranking":31.02,"SciDocsRR":87.2,"StackOverflowDupQuestions":51.47}
|
59 |
{"index":77,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":58.42,"AskUbuntuDupQuestions":63.98,"MindSmallReranking":31.5,"SciDocsRR":83.8,"StackOverflowDupQuestions":54.41}
|
60 |
{"index":129,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/abhinand\/MedEmbed-small-v0.1\">MedEmbed-small-v0.1<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.38,"AskUbuntuDupQuestions":62.69,"MindSmallReranking":31.72,"SciDocsRR":85.79,"StackOverflowDupQuestions":53.32}
|
61 |
-
{"index":
|
62 |
-
{"index":
|
63 |
-
{"index":
|
64 |
{"index":141,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.3,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.92,"SciDocsRR":86.18,"StackOverflowDupQuestions":52.96}
|
65 |
{"index":9,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":58.24,"AskUbuntuDupQuestions":63.24,"MindSmallReranking":31.48,"SciDocsRR":84.68,"StackOverflowDupQuestions":53.56}
|
66 |
{"index":207,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":58.14,"AskUbuntuDupQuestions":64.13,"MindSmallReranking":32.92,"SciDocsRR":83.68,"StackOverflowDupQuestions":51.84}
|
67 |
{"index":143,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/benayad7\/concat-e5-small-bge-small-01\">concat-e5-small-bge-small-01<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.14,"AskUbuntuDupQuestions":61.81,"MindSmallReranking":31.3,"SciDocsRR":85.9,"StackOverflowDupQuestions":53.56}
|
68 |
-
{"index":
|
69 |
-
{"index":
|
70 |
{"index":270,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.77}
|
71 |
{"index":219,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.76}
|
72 |
{"index":35,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.01,"AskUbuntuDupQuestions":61.7,"MindSmallReranking":32.67,"SciDocsRR":85.2,"StackOverflowDupQuestions":52.48}
|
@@ -107,14 +107,14 @@
|
|
107 |
{"index":189,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":55.96,"AskUbuntuDupQuestions":59.24,"MindSmallReranking":30.24,"SciDocsRR":84.22,"StackOverflowDupQuestions":50.14}
|
108 |
{"index":119,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.94,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":30.21,"SciDocsRR":79.74,"StackOverflowDupQuestions":52.2}
|
109 |
{"index":197,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":55.91,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":31.22,"SciDocsRR":80.27,"StackOverflowDupQuestions":50.55}
|
110 |
-
{"index":
|
111 |
-
{"index":
|
112 |
{"index":52,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":55.86,"AskUbuntuDupQuestions":60.01,"MindSmallReranking":32.18,"SciDocsRR":81.89,"StackOverflowDupQuestions":49.34}
|
113 |
{"index":199,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.84,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.56,"SciDocsRR":79.31,"StackOverflowDupQuestions":50.11}
|
114 |
{"index":243,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
115 |
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{"index":
|
116 |
{"index":127,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
117 |
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{"index":
|
118 |
{"index":124,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
|
119 |
{"index":181,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.7,"AskUbuntuDupQuestions":59.66,"MindSmallReranking":30.07,"SciDocsRR":82.9,"StackOverflowDupQuestions":50.15}
|
120 |
{"index":236,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
|
@@ -145,8 +145,8 @@
|
|
145 |
{"index":195,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.9,"AskUbuntuDupQuestions":59.92,"MindSmallReranking":30.97,"SciDocsRR":78.62,"StackOverflowDupQuestions":50.07}
|
146 |
{"index":286,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.71,"AskUbuntuDupQuestions":62.86,"MindSmallReranking":29.77,"SciDocsRR":75.16,"StackOverflowDupQuestions":51.05}
|
147 |
{"index":95,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.67,"AskUbuntuDupQuestions":59.63,"MindSmallReranking":31.72,"SciDocsRR":77.72,"StackOverflowDupQuestions":49.61}
|
148 |
-
{"index":
|
149 |
-
{"index":
|
150 |
{"index":70,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
151 |
{"index":157,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":54.63,"AskUbuntuDupQuestions":61.05,"MindSmallReranking":30.55,"SciDocsRR":79.83,"StackOverflowDupQuestions":47.1}
|
152 |
{"index":161,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.58,"AskUbuntuDupQuestions":63.09,"MindSmallReranking":30.89,"SciDocsRR":74.28,"StackOverflowDupQuestions":50.06}
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|
2 |
{"index":163,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_1.5B_v5\">stella_en_1.5B_v5<\/a>","Model Size (Million Parameters)":1543,"Memory Usage (GB, fp32)":5.75,"Embedding Dimensions":8192,"Max Tokens":131072,"Average":61.21,"AskUbuntuDupQuestions":67.33,"MindSmallReranking":33.05,"SciDocsRR":89.2,"StackOverflowDupQuestions":55.25}
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3 |
{"index":53,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.76,"AskUbuntuDupQuestions":67.23,"MindSmallReranking":33.36,"SciDocsRR":87.29,"StackOverflowDupQuestions":55.17}
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4 |
{"index":246,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.65,"AskUbuntuDupQuestions":67.46,"MindSmallReranking":31.76,"SciDocsRR":87.59,"StackOverflowDupQuestions":55.79}
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5 |
+
{"index":112,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.64,"AskUbuntuDupQuestions":67.58,"MindSmallReranking":32.72,"SciDocsRR":86.58,"StackOverflowDupQuestions":55.68}
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6 |
+
{"index":151,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/compressa-ai\/Compressa-Embeddings\">Compressa-Embeddings<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.64,"AskUbuntuDupQuestions":67.58,"MindSmallReranking":32.72,"SciDocsRR":86.58,"StackOverflowDupQuestions":55.68}
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7 |
{"index":245,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.54,"AskUbuntuDupQuestions":67.5,"MindSmallReranking":30.82,"SciDocsRR":87.26,"StackOverflowDupQuestions":56.58}
|
8 |
{"index":297,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.49,"AskUbuntuDupQuestions":67.34,"MindSmallReranking":31.81,"SciDocsRR":86.84,"StackOverflowDupQuestions":55.96}
|
9 |
{"index":30,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.49,"AskUbuntuDupQuestions":67.34,"MindSmallReranking":31.81,"SciDocsRR":86.84,"StackOverflowDupQuestions":55.96}
|
10 |
{"index":48,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":60.48,"AskUbuntuDupQuestions":67.37,"MindSmallReranking":31.81,"SciDocsRR":86.82,"StackOverflowDupQuestions":55.94}
|
11 |
{"index":258,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.46,"AskUbuntuDupQuestions":66.73,"MindSmallReranking":32.51,"SciDocsRR":87.03,"StackOverflowDupQuestions":55.55}
|
12 |
{"index":69,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.29,"AskUbuntuDupQuestions":66.82,"MindSmallReranking":32.06,"SciDocsRR":86.4,"StackOverflowDupQuestions":55.89}
|
13 |
+
{"index":177,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.25,"AskUbuntuDupQuestions":63.5,"MindSmallReranking":34.12,"SciDocsRR":86.98,"StackOverflowDupQuestions":56.39}
|
14 |
+
{"index":185,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.21,"AskUbuntuDupQuestions":66.98,"MindSmallReranking":32.59,"SciDocsRR":86.34,"StackOverflowDupQuestions":54.93}
|
15 |
{"index":164,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":60.16,"AskUbuntuDupQuestions":66.15,"MindSmallReranking":33.05,"SciDocsRR":88.44,"StackOverflowDupQuestions":52.99}
|
16 |
{"index":111,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.14,"AskUbuntuDupQuestions":66.71,"MindSmallReranking":31.26,"SciDocsRR":87.29,"StackOverflowDupQuestions":55.32}
|
17 |
{"index":15,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":60.13,"AskUbuntuDupQuestions":66.0,"MindSmallReranking":32.71,"SciDocsRR":87.89,"StackOverflowDupQuestions":53.93}
|
18 |
{"index":227,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.11,"AskUbuntuDupQuestions":65.16,"MindSmallReranking":32.54,"SciDocsRR":87.53,"StackOverflowDupQuestions":55.22}
|
19 |
+
{"index":166,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/elliotsayes\/mxbai-embed-large-v1-Q4_K_M-GGUF\">mxbai-embed-large-v1-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.11,"AskUbuntuDupQuestions":65.16,"MindSmallReranking":32.54,"SciDocsRR":87.53,"StackOverflowDupQuestions":55.22}
|
20 |
+
{"index":293,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/smcleod\/mxbai-embed-large-v1-Q8_0-GGUF\">mxbai-embed-large-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.11,"AskUbuntuDupQuestions":65.16,"MindSmallReranking":32.54,"SciDocsRR":87.53,"StackOverflowDupQuestions":55.22}
|
21 |
+
{"index":294,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/stellarator\/mxbai-embed-large-v1-Q5_K_M-GGUF\">mxbai-embed-large-v1-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.11,"AskUbuntuDupQuestions":65.16,"MindSmallReranking":32.54,"SciDocsRR":87.53,"StackOverflowDupQuestions":55.22}
|
22 |
{"index":6,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":60.09,"AskUbuntuDupQuestions":64.92,"MindSmallReranking":30.97,"SciDocsRR":89.34,"StackOverflowDupQuestions":55.11}
|
23 |
{"index":139,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.05,"AskUbuntuDupQuestions":64.7,"MindSmallReranking":32.82,"SciDocsRR":87.8,"StackOverflowDupQuestions":54.88}
|
24 |
+
{"index":212,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
|
25 |
+
{"index":113,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
|
26 |
{"index":260,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
27 |
+
{"index":178,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
28 |
+
{"index":25,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
29 |
{"index":259,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
30 |
{"index":310,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.0,"AskUbuntuDupQuestions":64.42,"MindSmallReranking":32.78,"SciDocsRR":87.61,"StackOverflowDupQuestions":55.19}
|
31 |
{"index":16,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":59.98,"AskUbuntuDupQuestions":64.55,"MindSmallReranking":33.94,"SciDocsRR":86.52,"StackOverflowDupQuestions":54.91}
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|
48 |
{"index":226,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
|
49 |
{"index":190,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":58.92,"AskUbuntuDupQuestions":64.41,"MindSmallReranking":33.07,"SciDocsRR":85.75,"StackOverflowDupQuestions":52.45}
|
50 |
{"index":1,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":58.9,"AskUbuntuDupQuestions":64.4,"MindSmallReranking":33.07,"SciDocsRR":83.59,"StackOverflowDupQuestions":54.56}
|
51 |
+
{"index":23,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
52 |
+
{"index":142,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
53 |
{"index":180,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.78,"AskUbuntuDupQuestions":62.72,"MindSmallReranking":31.91,"SciDocsRR":86.66,"StackOverflowDupQuestions":53.81}
|
54 |
{"index":298,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.61,"AskUbuntuDupQuestions":61.8,"MindSmallReranking":32.54,"SciDocsRR":87.08,"StackOverflowDupQuestions":53.01}
|
55 |
{"index":140,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.56,"AskUbuntuDupQuestions":62.33,"MindSmallReranking":32.36,"SciDocsRR":86.48,"StackOverflowDupQuestions":53.06}
|
56 |
+
{"index":19,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":58.5,"AskUbuntuDupQuestions":63.13,"MindSmallReranking":31.46,"SciDocsRR":86.93,"StackOverflowDupQuestions":52.48}
|
57 |
+
{"index":252,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":58.5,"AskUbuntuDupQuestions":63.13,"MindSmallReranking":31.46,"SciDocsRR":86.93,"StackOverflowDupQuestions":52.48}
|
58 |
{"index":269,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.44,"AskUbuntuDupQuestions":64.06,"MindSmallReranking":31.02,"SciDocsRR":87.2,"StackOverflowDupQuestions":51.47}
|
59 |
{"index":77,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":58.42,"AskUbuntuDupQuestions":63.98,"MindSmallReranking":31.5,"SciDocsRR":83.8,"StackOverflowDupQuestions":54.41}
|
60 |
{"index":129,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/abhinand\/MedEmbed-small-v0.1\">MedEmbed-small-v0.1<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.38,"AskUbuntuDupQuestions":62.69,"MindSmallReranking":31.72,"SciDocsRR":85.79,"StackOverflowDupQuestions":53.32}
|
61 |
+
{"index":54,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HowardC\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.36,"AskUbuntuDupQuestions":62.59,"MindSmallReranking":31.29,"SciDocsRR":85.94,"StackOverflowDupQuestions":53.64}
|
62 |
+
{"index":314,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wangjinzzhong\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.36,"AskUbuntuDupQuestions":62.59,"MindSmallReranking":31.29,"SciDocsRR":85.94,"StackOverflowDupQuestions":53.64}
|
63 |
+
{"index":28,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.36,"AskUbuntuDupQuestions":62.59,"MindSmallReranking":31.29,"SciDocsRR":85.94,"StackOverflowDupQuestions":53.64}
|
64 |
{"index":141,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.3,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.92,"SciDocsRR":86.18,"StackOverflowDupQuestions":52.96}
|
65 |
{"index":9,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":58.24,"AskUbuntuDupQuestions":63.24,"MindSmallReranking":31.48,"SciDocsRR":84.68,"StackOverflowDupQuestions":53.56}
|
66 |
{"index":207,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":58.14,"AskUbuntuDupQuestions":64.13,"MindSmallReranking":32.92,"SciDocsRR":83.68,"StackOverflowDupQuestions":51.84}
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67 |
{"index":143,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/benayad7\/concat-e5-small-bge-small-01\">concat-e5-small-bge-small-01<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.14,"AskUbuntuDupQuestions":61.81,"MindSmallReranking":31.3,"SciDocsRR":85.9,"StackOverflowDupQuestions":53.56}
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68 |
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{"index":206,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":58.13,"AskUbuntuDupQuestions":65.04,"MindSmallReranking":30.83,"SciDocsRR":84.88,"StackOverflowDupQuestions":51.77}
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69 |
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{"index":179,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.13,"AskUbuntuDupQuestions":65.04,"MindSmallReranking":30.83,"SciDocsRR":84.88,"StackOverflowDupQuestions":51.77}
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70 |
{"index":270,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.77}
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71 |
{"index":219,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.76}
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72 |
{"index":35,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.01,"AskUbuntuDupQuestions":61.7,"MindSmallReranking":32.67,"SciDocsRR":85.2,"StackOverflowDupQuestions":52.48}
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|
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107 |
{"index":189,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":55.96,"AskUbuntuDupQuestions":59.24,"MindSmallReranking":30.24,"SciDocsRR":84.22,"StackOverflowDupQuestions":50.14}
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108 |
{"index":119,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.94,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":30.21,"SciDocsRR":79.74,"StackOverflowDupQuestions":52.2}
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109 |
{"index":197,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":55.91,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":31.22,"SciDocsRR":80.27,"StackOverflowDupQuestions":50.55}
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110 |
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{"index":182,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.91,"AskUbuntuDupQuestions":58.98,"MindSmallReranking":31.29,"SciDocsRR":83.02,"StackOverflowDupQuestions":50.34}
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111 |
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{"index":165,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":55.91,"AskUbuntuDupQuestions":58.98,"MindSmallReranking":31.29,"SciDocsRR":83.02,"StackOverflowDupQuestions":50.34}
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112 |
{"index":52,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":55.86,"AskUbuntuDupQuestions":60.01,"MindSmallReranking":32.18,"SciDocsRR":81.89,"StackOverflowDupQuestions":49.34}
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113 |
{"index":199,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.84,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.56,"SciDocsRR":79.31,"StackOverflowDupQuestions":50.11}
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114 |
{"index":243,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
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115 |
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{"index":322,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
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116 |
{"index":127,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
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117 |
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{"index":109,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
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118 |
{"index":124,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
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119 |
{"index":181,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.7,"AskUbuntuDupQuestions":59.66,"MindSmallReranking":30.07,"SciDocsRR":82.9,"StackOverflowDupQuestions":50.15}
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120 |
{"index":236,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
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145 |
{"index":195,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.9,"AskUbuntuDupQuestions":59.92,"MindSmallReranking":30.97,"SciDocsRR":78.62,"StackOverflowDupQuestions":50.07}
|
146 |
{"index":286,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.71,"AskUbuntuDupQuestions":62.86,"MindSmallReranking":29.77,"SciDocsRR":75.16,"StackOverflowDupQuestions":51.05}
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147 |
{"index":95,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.67,"AskUbuntuDupQuestions":59.63,"MindSmallReranking":31.72,"SciDocsRR":77.72,"StackOverflowDupQuestions":49.61}
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148 |
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{"index":202,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
149 |
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{"index":147,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
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150 |
{"index":70,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
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151 |
{"index":157,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":54.63,"AskUbuntuDupQuestions":61.05,"MindSmallReranking":30.55,"SciDocsRR":79.83,"StackOverflowDupQuestions":47.1}
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152 |
{"index":161,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.58,"AskUbuntuDupQuestions":63.09,"MindSmallReranking":30.89,"SciDocsRR":74.28,"StackOverflowDupQuestions":50.06}
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boards_data/en/data_tasks/Retrieval/default.jsonl
CHANGED
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boards_data/en/data_tasks/STS/default.jsonl
CHANGED
@@ -1,12 +1,12 @@
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1 |
{"index":67,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":86.02,"BIOSSES":87.86,"SICK-R":81.01,"STS12":85.52,"STS13":89.37,"STS14":91.61,"STS15":92.02,"STS16":86.29,"STS17 (en-en)":88.71,"STS22 (en)":68.58,"STSBenchmark":89.28}
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{"index":
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{"index":
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{"index":9,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":85.79,"BIOSSES":89.7,"SICK-R":78.44,"STS12":86.46,"STS13":87.76,"STS14":86.6,"STS15":90.1,"STS16":86.39,"STS17 (en-en)":86.98,"STS22 (en)":76.89,"STSBenchmark":88.56}
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5 |
{"index":53,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.48,"BIOSSES":87.14,"SICK-R":82.46,"STS12":80.15,"STS13":89.94,"STS14":86.24,"STS15":91.2,"STS16":88.19,"STS17 (en-en)":91.93,"STS22 (en)":68.32,"STSBenchmark":89.21}
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{"index":302,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Meta-Llama-3-8B-Instruct\">BinGSE-Meta-Llama-3-8B-Instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.31,"BIOSSES":86.94,"SICK-R":83.73,"STS12":81.39,"STS13":87.96,"STS14":85.58,"STS15":89.78,"STS16":87.89,"STS17 (en-en)":92.02,"STS22 (en)":69.01,"STSBenchmark":88.83}
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7 |
{"index":1,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":85.07,"BIOSSES":89.46,"SICK-R":81.93,"STS12":77.59,"STS13":90.36,"STS14":85.25,"STS15":89.66,"STS16":87.34,"STS17 (en-en)":92.06,"STS22 (en)":68.02,"STSBenchmark":88.99}
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{"index":
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9 |
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{"index":
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10 |
{"index":310,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.04,"BIOSSES":89.15,"SICK-R":82.83,"STS12":78.65,"STS13":90.0,"STS14":84.97,"STS15":89.81,"STS16":86.71,"STS17 (en-en)":89.8,"STS22 (en)":69.67,"STSBenchmark":88.77}
|
11 |
{"index":190,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.03,"BIOSSES":87.46,"SICK-R":81.73,"STS12":82.53,"STS13":88.05,"STS14":84.83,"STS15":91.02,"STS16":87.32,"STS17 (en-en)":90.33,"STS22 (en)":68.67,"STSBenchmark":88.39}
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12 |
{"index":294,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/stellarator\/mxbai-embed-large-v1-Q5_K_M-GGUF\">mxbai-embed-large-v1-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.0,"BIOSSES":88.41,"SICK-R":82.92,"STS12":78.76,"STS13":90.35,"STS14":85.46,"STS15":89.62,"STS16":86.58,"STS17 (en-en)":89.5,"STS22 (en)":69.34,"STSBenchmark":89.1}
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@@ -31,28 +31,28 @@
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31 |
{"index":77,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.09,"BIOSSES":85.24,"SICK-R":83.7,"STS12":78.8,"STS13":86.37,"STS14":84.04,"STS15":88.99,"STS16":87.22,"STS17 (en-en)":90.19,"STS22 (en)":67.68,"STSBenchmark":88.65}
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32 |
{"index":27,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":83.88,"BIOSSES":85.74,"SICK-R":82.66,"STS12":77.71,"STS13":87.45,"STS14":83.48,"STS15":87.63,"STS16":86.7,"STS17 (en-en)":91.18,"STS22 (en)":69.02,"STSBenchmark":87.25}
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33 |
{"index":198,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.85,"BIOSSES":86.75,"SICK-R":82.33,"STS12":77.61,"STS13":87.95,"STS14":83.85,"STS15":88.47,"STS16":86.46,"STS17 (en-en)":88.7,"STS22 (en)":68.02,"STSBenchmark":88.33}
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{"index":
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35 |
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{"index":
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36 |
{"index":75,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":83.58,"BIOSSES":84.92,"SICK-R":83.94,"STS12":79.27,"STS13":84.83,"STS14":82.94,"STS15":88.09,"STS16":86.54,"STS17 (en-en)":89.58,"STS22 (en)":67.67,"STSBenchmark":88.05}
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37 |
{"index":79,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":83.58,"BIOSSES":85.88,"SICK-R":82.25,"STS12":78.28,"STS13":85.52,"STS14":82.49,"STS15":88.76,"STS16":87.11,"STS17 (en-en)":90.1,"STS22 (en)":68.25,"STSBenchmark":87.16}
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{"index":137,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.51,"BIOSSES":87.95,"SICK-R":81.29,"STS12":76.16,"STS13":87.85,"STS14":83.39,"STS15":89.43,"STS16":85.35,"STS17 (en-en)":88.59,"STS22 (en)":67.81,"STSBenchmark":87.32}
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39 |
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{"index":
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41 |
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42 |
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43 |
{"index":30,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.35,"BIOSSES":86.35,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.13,"STS22 (en)":68.63,"STSBenchmark":85.64}
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44 |
{"index":297,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.35,"BIOSSES":86.35,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.13,"STS22 (en)":68.63,"STSBenchmark":85.64}
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45 |
{"index":48,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":83.35,"BIOSSES":86.32,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.14,"STS22 (en)":68.63,"STSBenchmark":85.64}
|
46 |
{"index":299,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.35,"BIOSSES":88.65,"SICK-R":79.81,"STS12":76.81,"STS13":88.11,"STS14":82.66,"STS15":88.93,"STS16":84.25,"STS17 (en-en)":88.47,"STS22 (en)":69.71,"STSBenchmark":86.07}
|
47 |
-
{"index":
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48 |
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{"index":
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49 |
{"index":49,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":83.26,"BIOSSES":87.34,"SICK-R":80.56,"STS12":73.69,"STS13":85.82,"STS14":82.05,"STS15":88.8,"STS16":86.2,"STS17 (en-en)":91.46,"STS22 (en)":69.21,"STSBenchmark":87.43}
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50 |
{"index":37,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":83.15,"BIOSSES":85.01,"SICK-R":82.18,"STS12":77.62,"STS13":85.16,"STS14":80.02,"STS15":88.92,"STS16":86.92,"STS17 (en-en)":90.09,"STS22 (en)":66.81,"STSBenchmark":88.79}
|
51 |
{"index":175,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.15,"BIOSSES":84.39,"SICK-R":81.27,"STS12":76.28,"STS13":88.18,"STS14":81.92,"STS15":89.01,"STS16":85.49,"STS17 (en-en)":90.3,"STS22 (en)":67.74,"STSBenchmark":86.88}
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52 |
{"index":178,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
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53 |
{"index":260,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
54 |
-
{"index":
|
55 |
-
{"index":
|
56 |
{"index":303,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Sheared-LLaMA\">BinGSE-Sheared-LLaMA<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.1,"BIOSSES":83.85,"SICK-R":82.5,"STS12":77.04,"STS13":84.56,"STS14":82.12,"STS15":88.14,"STS16":86.38,"STS17 (en-en)":91.49,"STS22 (en)":68.45,"STSBenchmark":86.51}
|
57 |
{"index":176,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.06,"BIOSSES":84.15,"SICK-R":81.7,"STS12":75.32,"STS13":87.44,"STS14":81.87,"STS15":88.94,"STS16":85.38,"STS17 (en-en)":90.54,"STS22 (en)":68.65,"STSBenchmark":86.56}
|
58 |
{"index":17,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":83.04,"BIOSSES":81.37,"SICK-R":79.28,"STS12":79.55,"STS13":88.83,"STS14":83.87,"STS15":88.54,"STS16":86.49,"STS17 (en-en)":88.73,"STS22 (en)":66.88,"STSBenchmark":86.85}
|
@@ -69,16 +69,16 @@
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|
69 |
{"index":16,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.73,"BIOSSES":82.11,"SICK-R":80.49,"STS12":77.25,"STS13":87.79,"STS14":82.91,"STS15":88.45,"STS16":85.45,"STS17 (en-en)":90.33,"STS22 (en)":66.1,"STSBenchmark":86.38}
|
70 |
{"index":287,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.63,"BIOSSES":80.43,"SICK-R":80.47,"STS12":78.85,"STS13":88.94,"STS14":84.86,"STS15":89.32,"STS16":84.67,"STS17 (en-en)":89.46,"STS22 (en)":65.33,"STSBenchmark":84.01}
|
71 |
{"index":35,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.62,"BIOSSES":83.5,"SICK-R":81.27,"STS12":74.37,"STS13":85.2,"STS14":80.98,"STS15":89.23,"STS16":86.32,"STS17 (en-en)":90.34,"STS22 (en)":66.42,"STSBenchmark":88.55}
|
72 |
-
{"index":
|
73 |
-
{"index":
|
74 |
{"index":202,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
75 |
{"index":207,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.56,"BIOSSES":86.54,"SICK-R":83.23,"STS12":76.13,"STS13":83.19,"STS14":80.6,"STS15":87.16,"STS16":85.16,"STS17 (en-en)":90.88,"STS22 (en)":67.04,"STSBenchmark":85.67}
|
76 |
{"index":233,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
|
77 |
{"index":15,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
|
78 |
{"index":52,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":82.42,"BIOSSES":86.24,"SICK-R":79.93,"STS12":76.67,"STS13":84.87,"STS14":80.11,"STS15":88.7,"STS16":84.62,"STS17 (en-en)":87.94,"STS22 (en)":69.0,"STSBenchmark":86.07}
|
79 |
{"index":51,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":82.4,"BIOSSES":86.33,"SICK-R":79.63,"STS12":81.5,"STS13":84.49,"STS14":80.06,"STS15":86.54,"STS16":85.41,"STS17 (en-en)":86.4,"STS22 (en)":69.37,"STSBenchmark":84.3}
|
80 |
-
{"index":
|
81 |
-
{"index":
|
82 |
{"index":195,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":82.37,"BIOSSES":84.82,"SICK-R":80.85,"STS12":76.1,"STS13":85.49,"STS14":80.44,"STS15":87.75,"STS16":85.42,"STS17 (en-en)":89.95,"STS22 (en)":65.13,"STSBenchmark":87.71}
|
83 |
{"index":298,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.3,"BIOSSES":87.64,"SICK-R":78.86,"STS12":75.71,"STS13":85.73,"STS14":81.51,"STS15":88.81,"STS16":83.82,"STS17 (en-en)":87.9,"STS22 (en)":67.33,"STSBenchmark":85.73}
|
84 |
{"index":174,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.29,"BIOSSES":82.31,"SICK-R":80.26,"STS12":77.02,"STS13":86.58,"STS14":81.32,"STS15":88.19,"STS16":84.88,"STS17 (en-en)":89.46,"STS22 (en)":66.45,"STSBenchmark":86.43}
|
@@ -87,14 +87,14 @@
|
|
87 |
{"index":300,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"BIOSSES":88.17,"SICK-R":77.93,"STS12":75.12,"STS13":85.09,"STS14":81.03,"STS15":88.32,"STS16":83.91,"STS17 (en-en)":87.59,"STS22 (en)":68.0,"STSBenchmark":85.57}
|
88 |
{"index":236,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
89 |
{"index":183,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.06,"BIOSSES":84.73,"SICK-R":80.49,"STS12":75.93,"STS13":85.22,"STS14":80.54,"STS15":88.81,"STS16":85.28,"STS17 (en-en)":89.37,"STS22 (en)":62.99,"STSBenchmark":87.21}
|
90 |
-
{"index":
|
91 |
-
{"index":
|
92 |
{"index":234,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.04,"BIOSSES":86.66,"SICK-R":79.44,"STS12":76.17,"STS13":84.15,"STS14":81.49,"STS15":88.11,"STS16":84.99,"STS17 (en-en)":87.98,"STS22 (en)":65.07,"STSBenchmark":86.31}
|
93 |
{"index":18,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.97,"BIOSSES":83.65,"SICK-R":79.37,"STS12":74.38,"STS13":84.71,"STS14":80.1,"STS15":87.16,"STS16":85.02,"STS17 (en-en)":90.64,"STS22 (en)":68.63,"STSBenchmark":86.04}
|
94 |
{"index":109,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
95 |
{"index":322,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
96 |
-
{"index":
|
97 |
-
{"index":
|
98 |
{"index":68,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.93,"BIOSSES":83.99,"SICK-R":74.65,"STS12":79.39,"STS13":85.32,"STS14":83.9,"STS15":88.47,"STS16":84.44,"STS17 (en-en)":85.77,"STS22 (en)":67.24,"STSBenchmark":86.08}
|
99 |
{"index":318,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.9,"BIOSSES":85.83,"SICK-R":79.0,"STS12":73.48,"STS13":86.14,"STS14":80.36,"STS15":88.53,"STS16":84.08,"STS17 (en-en)":89.42,"STS22 (en)":66.75,"STSBenchmark":85.45}
|
100 |
{"index":285,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.83,"BIOSSES":78.93,"SICK-R":80.34,"STS12":79.11,"STS13":87.33,"STS14":83.17,"STS15":88.28,"STS16":84.36,"STS17 (en-en)":88.99,"STS22 (en)":62.39,"STSBenchmark":85.36}
|
@@ -103,16 +103,16 @@
|
|
103 |
{"index":286,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.66,"BIOSSES":73.12,"SICK-R":79.98,"STS12":79.02,"STS13":88.8,"STS14":84.33,"STS15":88.89,"STS16":85.31,"STS17 (en-en)":88.91,"STS22 (en)":64.32,"STSBenchmark":83.93}
|
104 |
{"index":208,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.63,"BIOSSES":86.73,"SICK-R":77.45,"STS12":74.22,"STS13":86.12,"STS14":78.88,"STS15":87.5,"STS16":84.26,"STS17 (en-en)":89.68,"STS22 (en)":65.96,"STSBenchmark":85.54}
|
105 |
{"index":189,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":81.62,"BIOSSES":82.49,"SICK-R":80.23,"STS12":80.02,"STS13":81.55,"STS14":77.72,"STS15":89.31,"STS16":85.79,"STS17 (en-en)":88.12,"STS22 (en)":63.66,"STSBenchmark":87.29}
|
106 |
-
{"index":
|
107 |
-
{"index":
|
108 |
-
{"index":
|
109 |
{"index":335,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":81.58,"BIOSSES":88.72,"SICK-R":76.73,"STS12":73.09,"STS13":84.92,"STS14":79.81,"STS15":88.01,"STS16":84.41,"STS17 (en-en)":90.94,"STS22 (en)":64.96,"STSBenchmark":84.24}
|
110 |
{"index":134,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.54,"BIOSSES":87.13,"SICK-R":76.49,"STS12":75.0,"STS13":87.91,"STS14":82.26,"STS15":87.87,"STS16":80.92,"STS17 (en-en)":87.23,"STS22 (en)":68.59,"STSBenchmark":81.95}
|
111 |
{"index":194,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":81.52,"BIOSSES":84.65,"SICK-R":79.92,"STS12":75.8,"STS13":83.62,"STS14":78.73,"STS15":86.41,"STS16":84.5,"STS17 (en-en)":89.95,"STS22 (en)":65.81,"STSBenchmark":85.79}
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112 |
{"index":319,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.5,"BIOSSES":87.81,"SICK-R":77.31,"STS12":73.99,"STS13":84.23,"STS14":80.09,"STS15":88.2,"STS16":83.61,"STS17 (en-en)":87.8,"STS22 (en)":66.84,"STSBenchmark":85.13}
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113 |
{"index":129,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/abhinand\/MedEmbed-small-v0.1\">MedEmbed-small-v0.1<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.48,"BIOSSES":87.2,"SICK-R":79.66,"STS12":76.22,"STS13":83.46,"STS14":80.4,"STS15":86.41,"STS16":83.29,"STS17 (en-en)":86.54,"STS22 (en)":66.81,"STSBenchmark":84.81}
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114 |
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{"index":
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115 |
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{"index":
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116 |
{"index":240,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"Average":81.34,"BIOSSES":81.58,"SICK-R":79.24,"STS12":78.16,"STS13":86.01,"STS14":81.25,"STS15":86.51,"STS16":84.24,"STS17 (en-en)":86.44,"STS22 (en)":65.14,"STSBenchmark":84.8}
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117 |
{"index":111,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":81.26,"BIOSSES":87.6,"SICK-R":77.01,"STS12":75.67,"STS13":82.4,"STS14":79.93,"STS15":85.82,"STS16":84.5,"STS17 (en-en)":88.93,"STS22 (en)":67.1,"STSBenchmark":83.6}
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118 |
{"index":231,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.19,"BIOSSES":83.94,"SICK-R":78.64,"STS12":74.88,"STS13":83.64,"STS14":80.4,"STS15":88.01,"STS16":84.31,"STS17 (en-en)":88.3,"STS22 (en)":63.84,"STSBenchmark":85.93}
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@@ -121,8 +121,8 @@
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121 |
{"index":182,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.05,"BIOSSES":81.4,"SICK-R":78.3,"STS12":75.79,"STS13":83.58,"STS14":79.95,"STS15":88.82,"STS16":84.46,"STS17 (en-en)":87.58,"STS22 (en)":64.07,"STSBenchmark":86.52}
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122 |
{"index":333,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":81.04,"BIOSSES":84.87,"SICK-R":79.18,"STS12":71.98,"STS13":85.52,"STS14":80.5,"STS15":87.51,"STS16":84.48,"STS17 (en-en)":88.11,"STS22 (en)":65.92,"STSBenchmark":82.34}
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123 |
{"index":332,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":80.97,"BIOSSES":86.35,"SICK-R":80.6,"STS12":69.8,"STS13":83.27,"STS14":76.09,"STS15":86.12,"STS16":85.96,"STS17 (en-en)":90.25,"STS22 (en)":68.12,"STSBenchmark":83.17}
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124 |
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{"index":
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125 |
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{"index":
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126 |
{"index":34,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.92,"BIOSSES":81.72,"SICK-R":79.65,"STS12":72.6,"STS13":82.88,"STS14":79.74,"STS15":86.98,"STS16":84.41,"STS17 (en-en)":89.22,"STS22 (en)":65.42,"STSBenchmark":86.58}
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127 |
{"index":186,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.87,"BIOSSES":84.22,"SICK-R":78.9,"STS12":75.19,"STS13":81.8,"STS14":78.48,"STS15":87.49,"STS16":84.58,"STS17 (en-en)":87.94,"STS22 (en)":63.76,"STSBenchmark":86.36}
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128 |
{"index":238,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.84,"BIOSSES":87.19,"SICK-R":74.19,"STS12":73.22,"STS13":84.77,"STS14":79.99,"STS15":87.27,"STS16":82.31,"STS17 (en-en)":89.54,"STS22 (en)":65.93,"STSBenchmark":83.96}
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@@ -131,8 +131,8 @@
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131 |
{"index":133,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.72,"BIOSSES":79.96,"SICK-R":79.25,"STS12":78.37,"STS13":81.85,"STS14":80.85,"STS15":86.47,"STS16":84.48,"STS17 (en-en)":85.71,"STS22 (en)":65.38,"STSBenchmark":84.89}
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132 |
{"index":138,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.72,"BIOSSES":81.26,"SICK-R":79.09,"STS12":75.04,"STS13":83.26,"STS14":78.62,"STS15":87.03,"STS16":83.01,"STS17 (en-en)":87.36,"STS22 (en)":68.11,"STSBenchmark":84.4}
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133 |
{"index":203,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.7,"BIOSSES":81.23,"SICK-R":79.65,"STS12":74.27,"STS13":84.18,"STS14":78.81,"STS15":87.55,"STS16":85.35,"STS17 (en-en)":88.88,"STS22 (en)":62.2,"STSBenchmark":84.84}
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134 |
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{"index":
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135 |
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{"index":
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136 |
{"index":316,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.59,"BIOSSES":82.19,"SICK-R":79.25,"STS12":73.71,"STS13":82.32,"STS14":80.07,"STS15":87.21,"STS16":82.33,"STS17 (en-en)":87.58,"STS22 (en)":66.3,"STSBenchmark":84.92}
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137 |
{"index":97,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":80.53,"BIOSSES":79.5,"SICK-R":79.59,"STS12":74.29,"STS13":85.35,"STS14":79.21,"STS15":85.52,"STS16":82.54,"STS17 (en-en)":90.44,"STS22 (en)":63.2,"STSBenchmark":85.67}
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138 |
{"index":211,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.47,"BIOSSES":80.72,"SICK-R":81.87,"STS12":70.75,"STS13":84.37,"STS14":74.51,"STS15":86.41,"STS16":84.74,"STS17 (en-en)":89.03,"STS22 (en)":65.87,"STSBenchmark":86.46}
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1 |
{"index":67,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":86.02,"BIOSSES":87.86,"SICK-R":81.01,"STS12":85.52,"STS13":89.37,"STS14":91.61,"STS15":92.02,"STS16":86.29,"STS17 (en-en)":88.71,"STS22 (en)":68.58,"STSBenchmark":89.28}
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2 |
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{"index":179,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.81,"BIOSSES":88.69,"SICK-R":89.62,"STS12":82.44,"STS13":89.49,"STS14":84.95,"STS15":89.31,"STS16":86.85,"STS17 (en-en)":90.0,"STS22 (en)":67.28,"STSBenchmark":89.44}
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{"index":206,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":85.81,"BIOSSES":88.69,"SICK-R":89.62,"STS12":82.44,"STS13":89.49,"STS14":84.95,"STS15":89.31,"STS16":86.85,"STS17 (en-en)":90.0,"STS22 (en)":67.28,"STSBenchmark":89.44}
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{"index":9,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":85.79,"BIOSSES":89.7,"SICK-R":78.44,"STS12":86.46,"STS13":87.76,"STS14":86.6,"STS15":90.1,"STS16":86.39,"STS17 (en-en)":86.98,"STS22 (en)":76.89,"STSBenchmark":88.56}
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5 |
{"index":53,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.48,"BIOSSES":87.14,"SICK-R":82.46,"STS12":80.15,"STS13":89.94,"STS14":86.24,"STS15":91.2,"STS16":88.19,"STS17 (en-en)":91.93,"STS22 (en)":68.32,"STSBenchmark":89.21}
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{"index":302,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Meta-Llama-3-8B-Instruct\">BinGSE-Meta-Llama-3-8B-Instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.31,"BIOSSES":86.94,"SICK-R":83.73,"STS12":81.39,"STS13":87.96,"STS14":85.58,"STS15":89.78,"STS16":87.89,"STS17 (en-en)":92.02,"STS22 (en)":69.01,"STSBenchmark":88.83}
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7 |
{"index":1,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":85.07,"BIOSSES":89.46,"SICK-R":81.93,"STS12":77.59,"STS13":90.36,"STS14":85.25,"STS15":89.66,"STS16":87.34,"STS17 (en-en)":92.06,"STS22 (en)":68.02,"STSBenchmark":88.99}
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8 |
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{"index":112,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.05,"BIOSSES":86.07,"SICK-R":82.92,"STS12":79.47,"STS13":89.15,"STS14":84.93,"STS15":90.74,"STS16":87.82,"STS17 (en-en)":92.02,"STS22 (en)":68.36,"STSBenchmark":89.0}
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{"index":151,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/compressa-ai\/Compressa-Embeddings\">Compressa-Embeddings<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.05,"BIOSSES":86.07,"SICK-R":82.92,"STS12":79.47,"STS13":89.15,"STS14":84.93,"STS15":90.74,"STS16":87.82,"STS17 (en-en)":92.02,"STS22 (en)":68.36,"STSBenchmark":89.0}
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10 |
{"index":310,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.04,"BIOSSES":89.15,"SICK-R":82.83,"STS12":78.65,"STS13":90.0,"STS14":84.97,"STS15":89.81,"STS16":86.71,"STS17 (en-en)":89.8,"STS22 (en)":69.67,"STSBenchmark":88.77}
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11 |
{"index":190,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.03,"BIOSSES":87.46,"SICK-R":81.73,"STS12":82.53,"STS13":88.05,"STS14":84.83,"STS15":91.02,"STS16":87.32,"STS17 (en-en)":90.33,"STS22 (en)":68.67,"STSBenchmark":88.39}
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12 |
{"index":294,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/stellarator\/mxbai-embed-large-v1-Q5_K_M-GGUF\">mxbai-embed-large-v1-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.0,"BIOSSES":88.41,"SICK-R":82.92,"STS12":78.76,"STS13":90.35,"STS14":85.46,"STS15":89.62,"STS16":86.58,"STS17 (en-en)":89.5,"STS22 (en)":69.34,"STSBenchmark":89.1}
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31 |
{"index":77,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.09,"BIOSSES":85.24,"SICK-R":83.7,"STS12":78.8,"STS13":86.37,"STS14":84.04,"STS15":88.99,"STS16":87.22,"STS17 (en-en)":90.19,"STS22 (en)":67.68,"STSBenchmark":88.65}
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32 |
{"index":27,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":83.88,"BIOSSES":85.74,"SICK-R":82.66,"STS12":77.71,"STS13":87.45,"STS14":83.48,"STS15":87.63,"STS16":86.7,"STS17 (en-en)":91.18,"STS22 (en)":69.02,"STSBenchmark":87.25}
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33 |
{"index":198,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.85,"BIOSSES":86.75,"SICK-R":82.33,"STS12":77.61,"STS13":87.95,"STS14":83.85,"STS15":88.47,"STS16":86.46,"STS17 (en-en)":88.7,"STS22 (en)":68.02,"STSBenchmark":88.33}
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34 |
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{"index":177,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.74,"BIOSSES":80.97,"SICK-R":82.99,"STS12":78.17,"STS13":88.13,"STS14":83.78,"STS15":88.79,"STS16":86.47,"STS17 (en-en)":92.23,"STS22 (en)":68.35,"STSBenchmark":87.47}
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35 |
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{"index":73,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":83.73,"BIOSSES":82.13,"SICK-R":83.01,"STS12":78.85,"STS13":86.84,"STS14":84.04,"STS15":88.72,"STS16":86.79,"STS17 (en-en)":90.63,"STS22 (en)":67.55,"STSBenchmark":88.72}
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36 |
{"index":75,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":83.58,"BIOSSES":84.92,"SICK-R":83.94,"STS12":79.27,"STS13":84.83,"STS14":82.94,"STS15":88.09,"STS16":86.54,"STS17 (en-en)":89.58,"STS22 (en)":67.67,"STSBenchmark":88.05}
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37 |
{"index":79,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":83.58,"BIOSSES":85.88,"SICK-R":82.25,"STS12":78.28,"STS13":85.52,"STS14":82.49,"STS15":88.76,"STS16":87.11,"STS17 (en-en)":90.1,"STS22 (en)":68.25,"STSBenchmark":87.16}
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38 |
{"index":137,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.51,"BIOSSES":87.95,"SICK-R":81.29,"STS12":76.16,"STS13":87.85,"STS14":83.39,"STS15":89.43,"STS16":85.35,"STS17 (en-en)":88.59,"STS22 (en)":67.81,"STSBenchmark":87.32}
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39 |
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{"index":22,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q4_K_M-GGUF\">jina-embeddings-v2-base-es-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
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40 |
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{"index":21,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q2_K-GGUF\">jina-embeddings-v2-base-es-Q2_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
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41 |
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{"index":204,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
|
42 |
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{"index":251,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
|
43 |
{"index":30,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.35,"BIOSSES":86.35,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.13,"STS22 (en)":68.63,"STSBenchmark":85.64}
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44 |
{"index":297,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.35,"BIOSSES":86.35,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.13,"STS22 (en)":68.63,"STSBenchmark":85.64}
|
45 |
{"index":48,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":83.35,"BIOSSES":86.32,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.14,"STS22 (en)":68.63,"STSBenchmark":85.64}
|
46 |
{"index":299,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.35,"BIOSSES":88.65,"SICK-R":79.81,"STS12":76.81,"STS13":88.11,"STS14":82.66,"STS15":88.93,"STS16":84.25,"STS17 (en-en)":88.47,"STS22 (en)":69.71,"STSBenchmark":86.07}
|
47 |
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{"index":113,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.34,"BIOSSES":85.81,"SICK-R":81.75,"STS12":78.51,"STS13":86.62,"STS14":83.06,"STS15":88.39,"STS16":86.82,"STS17 (en-en)":87.9,"STS22 (en)":66.76,"STSBenchmark":87.77}
|
48 |
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{"index":212,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.34,"BIOSSES":85.81,"SICK-R":81.75,"STS12":78.51,"STS13":86.62,"STS14":83.06,"STS15":88.39,"STS16":86.82,"STS17 (en-en)":87.9,"STS22 (en)":66.76,"STSBenchmark":87.77}
|
49 |
{"index":49,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":83.26,"BIOSSES":87.34,"SICK-R":80.56,"STS12":73.69,"STS13":85.82,"STS14":82.05,"STS15":88.8,"STS16":86.2,"STS17 (en-en)":91.46,"STS22 (en)":69.21,"STSBenchmark":87.43}
|
50 |
{"index":37,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":83.15,"BIOSSES":85.01,"SICK-R":82.18,"STS12":77.62,"STS13":85.16,"STS14":80.02,"STS15":88.92,"STS16":86.92,"STS17 (en-en)":90.09,"STS22 (en)":66.81,"STSBenchmark":88.79}
|
51 |
{"index":175,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.15,"BIOSSES":84.39,"SICK-R":81.27,"STS12":76.28,"STS13":88.18,"STS14":81.92,"STS15":89.01,"STS16":85.49,"STS17 (en-en)":90.3,"STS22 (en)":67.74,"STSBenchmark":86.88}
|
52 |
{"index":178,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
53 |
{"index":260,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
54 |
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{"index":25,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
55 |
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{"index":259,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
56 |
{"index":303,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Sheared-LLaMA\">BinGSE-Sheared-LLaMA<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.1,"BIOSSES":83.85,"SICK-R":82.5,"STS12":77.04,"STS13":84.56,"STS14":82.12,"STS15":88.14,"STS16":86.38,"STS17 (en-en)":91.49,"STS22 (en)":68.45,"STSBenchmark":86.51}
|
57 |
{"index":176,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.06,"BIOSSES":84.15,"SICK-R":81.7,"STS12":75.32,"STS13":87.44,"STS14":81.87,"STS15":88.94,"STS16":85.38,"STS17 (en-en)":90.54,"STS22 (en)":68.65,"STSBenchmark":86.56}
|
58 |
{"index":17,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":83.04,"BIOSSES":81.37,"SICK-R":79.28,"STS12":79.55,"STS13":88.83,"STS14":83.87,"STS15":88.54,"STS16":86.49,"STS17 (en-en)":88.73,"STS22 (en)":66.88,"STSBenchmark":86.85}
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|
69 |
{"index":16,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.73,"BIOSSES":82.11,"SICK-R":80.49,"STS12":77.25,"STS13":87.79,"STS14":82.91,"STS15":88.45,"STS16":85.45,"STS17 (en-en)":90.33,"STS22 (en)":66.1,"STSBenchmark":86.38}
|
70 |
{"index":287,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.63,"BIOSSES":80.43,"SICK-R":80.47,"STS12":78.85,"STS13":88.94,"STS14":84.86,"STS15":89.32,"STS16":84.67,"STS17 (en-en)":89.46,"STS22 (en)":65.33,"STSBenchmark":84.01}
|
71 |
{"index":35,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.62,"BIOSSES":83.5,"SICK-R":81.27,"STS12":74.37,"STS13":85.2,"STS14":80.98,"STS15":89.23,"STS16":86.32,"STS17 (en-en)":90.34,"STS22 (en)":66.42,"STSBenchmark":88.55}
|
72 |
+
{"index":147,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
73 |
+
{"index":70,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
74 |
{"index":202,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
75 |
{"index":207,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.56,"BIOSSES":86.54,"SICK-R":83.23,"STS12":76.13,"STS13":83.19,"STS14":80.6,"STS15":87.16,"STS16":85.16,"STS17 (en-en)":90.88,"STS22 (en)":67.04,"STSBenchmark":85.67}
|
76 |
{"index":233,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
|
77 |
{"index":15,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
|
78 |
{"index":52,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":82.42,"BIOSSES":86.24,"SICK-R":79.93,"STS12":76.67,"STS13":84.87,"STS14":80.11,"STS15":88.7,"STS16":84.62,"STS17 (en-en)":87.94,"STS22 (en)":69.0,"STSBenchmark":86.07}
|
79 |
{"index":51,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":82.4,"BIOSSES":86.33,"SICK-R":79.63,"STS12":81.5,"STS13":84.49,"STS14":80.06,"STS15":86.54,"STS16":85.41,"STS17 (en-en)":86.4,"STS22 (en)":69.37,"STSBenchmark":84.3}
|
80 |
+
{"index":142,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
81 |
+
{"index":23,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
82 |
{"index":195,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":82.37,"BIOSSES":84.82,"SICK-R":80.85,"STS12":76.1,"STS13":85.49,"STS14":80.44,"STS15":87.75,"STS16":85.42,"STS17 (en-en)":89.95,"STS22 (en)":65.13,"STSBenchmark":87.71}
|
83 |
{"index":298,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.3,"BIOSSES":87.64,"SICK-R":78.86,"STS12":75.71,"STS13":85.73,"STS14":81.51,"STS15":88.81,"STS16":83.82,"STS17 (en-en)":87.9,"STS22 (en)":67.33,"STSBenchmark":85.73}
|
84 |
{"index":174,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.29,"BIOSSES":82.31,"SICK-R":80.26,"STS12":77.02,"STS13":86.58,"STS14":81.32,"STS15":88.19,"STS16":84.88,"STS17 (en-en)":89.46,"STS22 (en)":66.45,"STSBenchmark":86.43}
|
|
|
87 |
{"index":300,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"BIOSSES":88.17,"SICK-R":77.93,"STS12":75.12,"STS13":85.09,"STS14":81.03,"STS15":88.32,"STS16":83.91,"STS17 (en-en)":87.59,"STS22 (en)":68.0,"STSBenchmark":85.57}
|
88 |
{"index":236,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
89 |
{"index":183,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.06,"BIOSSES":84.73,"SICK-R":80.49,"STS12":75.93,"STS13":85.22,"STS14":80.54,"STS15":88.81,"STS16":85.28,"STS17 (en-en)":89.37,"STS22 (en)":62.99,"STSBenchmark":87.21}
|
90 |
+
{"index":63,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.05,"BIOSSES":83.6,"SICK-R":79.28,"STS12":76.95,"STS13":84.12,"STS14":80.46,"STS15":89.76,"STS16":85.47,"STS17 (en-en)":89.03,"STS22 (en)":64.11,"STSBenchmark":87.74}
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91 |
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{"index":184,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.05,"BIOSSES":83.6,"SICK-R":79.28,"STS12":76.95,"STS13":84.12,"STS14":80.46,"STS15":89.76,"STS16":85.47,"STS17 (en-en)":89.03,"STS22 (en)":64.11,"STSBenchmark":87.74}
|
92 |
{"index":234,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.04,"BIOSSES":86.66,"SICK-R":79.44,"STS12":76.17,"STS13":84.15,"STS14":81.49,"STS15":88.11,"STS16":84.99,"STS17 (en-en)":87.98,"STS22 (en)":65.07,"STSBenchmark":86.31}
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93 |
{"index":18,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.97,"BIOSSES":83.65,"SICK-R":79.37,"STS12":74.38,"STS13":84.71,"STS14":80.1,"STS15":87.16,"STS16":85.02,"STS17 (en-en)":90.64,"STS22 (en)":68.63,"STSBenchmark":86.04}
|
94 |
{"index":109,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
95 |
{"index":322,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
96 |
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{"index":243,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
97 |
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{"index":127,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
98 |
{"index":68,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.93,"BIOSSES":83.99,"SICK-R":74.65,"STS12":79.39,"STS13":85.32,"STS14":83.9,"STS15":88.47,"STS16":84.44,"STS17 (en-en)":85.77,"STS22 (en)":67.24,"STSBenchmark":86.08}
|
99 |
{"index":318,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.9,"BIOSSES":85.83,"SICK-R":79.0,"STS12":73.48,"STS13":86.14,"STS14":80.36,"STS15":88.53,"STS16":84.08,"STS17 (en-en)":89.42,"STS22 (en)":66.75,"STSBenchmark":85.45}
|
100 |
{"index":285,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.83,"BIOSSES":78.93,"SICK-R":80.34,"STS12":79.11,"STS13":87.33,"STS14":83.17,"STS15":88.28,"STS16":84.36,"STS17 (en-en)":88.99,"STS22 (en)":62.39,"STSBenchmark":85.36}
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|
103 |
{"index":286,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.66,"BIOSSES":73.12,"SICK-R":79.98,"STS12":79.02,"STS13":88.8,"STS14":84.33,"STS15":88.89,"STS16":85.31,"STS17 (en-en)":88.91,"STS22 (en)":64.32,"STSBenchmark":83.93}
|
104 |
{"index":208,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.63,"BIOSSES":86.73,"SICK-R":77.45,"STS12":74.22,"STS13":86.12,"STS14":78.88,"STS15":87.5,"STS16":84.26,"STS17 (en-en)":89.68,"STS22 (en)":65.96,"STSBenchmark":85.54}
|
105 |
{"index":189,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":81.62,"BIOSSES":82.49,"SICK-R":80.23,"STS12":80.02,"STS13":81.55,"STS14":77.72,"STS15":89.31,"STS16":85.79,"STS17 (en-en)":88.12,"STS22 (en)":63.66,"STSBenchmark":87.29}
|
106 |
+
{"index":54,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HowardC\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.59,"BIOSSES":83.75,"SICK-R":79.41,"STS12":77.44,"STS13":82.98,"STS14":81.84,"STS15":87.26,"STS16":84.93,"STS17 (en-en)":87.15,"STS22 (en)":65.3,"STSBenchmark":85.86}
|
107 |
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{"index":28,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.59,"BIOSSES":83.75,"SICK-R":79.41,"STS12":77.44,"STS13":82.98,"STS14":81.84,"STS15":87.26,"STS16":84.93,"STS17 (en-en)":87.15,"STS22 (en)":65.3,"STSBenchmark":85.86}
|
108 |
+
{"index":314,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wangjinzzhong\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.59,"BIOSSES":83.75,"SICK-R":79.41,"STS12":77.44,"STS13":82.98,"STS14":81.84,"STS15":87.26,"STS16":84.93,"STS17 (en-en)":87.15,"STS22 (en)":65.3,"STSBenchmark":85.86}
|
109 |
{"index":335,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":81.58,"BIOSSES":88.72,"SICK-R":76.73,"STS12":73.09,"STS13":84.92,"STS14":79.81,"STS15":88.01,"STS16":84.41,"STS17 (en-en)":90.94,"STS22 (en)":64.96,"STSBenchmark":84.24}
|
110 |
{"index":134,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.54,"BIOSSES":87.13,"SICK-R":76.49,"STS12":75.0,"STS13":87.91,"STS14":82.26,"STS15":87.87,"STS16":80.92,"STS17 (en-en)":87.23,"STS22 (en)":68.59,"STSBenchmark":81.95}
|
111 |
{"index":194,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":81.52,"BIOSSES":84.65,"SICK-R":79.92,"STS12":75.8,"STS13":83.62,"STS14":78.73,"STS15":86.41,"STS16":84.5,"STS17 (en-en)":89.95,"STS22 (en)":65.81,"STSBenchmark":85.79}
|
112 |
{"index":319,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.5,"BIOSSES":87.81,"SICK-R":77.31,"STS12":73.99,"STS13":84.23,"STS14":80.09,"STS15":88.2,"STS16":83.61,"STS17 (en-en)":87.8,"STS22 (en)":66.84,"STSBenchmark":85.13}
|
113 |
{"index":129,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/abhinand\/MedEmbed-small-v0.1\">MedEmbed-small-v0.1<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.48,"BIOSSES":87.2,"SICK-R":79.66,"STS12":76.22,"STS13":83.46,"STS14":80.4,"STS15":86.41,"STS16":83.29,"STS17 (en-en)":86.54,"STS22 (en)":66.81,"STSBenchmark":84.81}
|
114 |
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{"index":19,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":81.43,"BIOSSES":85.39,"SICK-R":79.78,"STS12":73.88,"STS13":85.08,"STS14":79.61,"STS15":86.15,"STS16":81.6,"STS17 (en-en)":89.11,"STS22 (en)":70.59,"STSBenchmark":83.07}
|
115 |
+
{"index":252,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":81.43,"BIOSSES":85.39,"SICK-R":79.78,"STS12":73.88,"STS13":85.08,"STS14":79.61,"STS15":86.15,"STS16":81.6,"STS17 (en-en)":89.11,"STS22 (en)":70.59,"STSBenchmark":83.07}
|
116 |
{"index":240,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"Average":81.34,"BIOSSES":81.58,"SICK-R":79.24,"STS12":78.16,"STS13":86.01,"STS14":81.25,"STS15":86.51,"STS16":84.24,"STS17 (en-en)":86.44,"STS22 (en)":65.14,"STSBenchmark":84.8}
|
117 |
{"index":111,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":81.26,"BIOSSES":87.6,"SICK-R":77.01,"STS12":75.67,"STS13":82.4,"STS14":79.93,"STS15":85.82,"STS16":84.5,"STS17 (en-en)":88.93,"STS22 (en)":67.1,"STSBenchmark":83.6}
|
118 |
{"index":231,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.19,"BIOSSES":83.94,"SICK-R":78.64,"STS12":74.88,"STS13":83.64,"STS14":80.4,"STS15":88.01,"STS16":84.31,"STS17 (en-en)":88.3,"STS22 (en)":63.84,"STSBenchmark":85.93}
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|
121 |
{"index":182,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.05,"BIOSSES":81.4,"SICK-R":78.3,"STS12":75.79,"STS13":83.58,"STS14":79.95,"STS15":88.82,"STS16":84.46,"STS17 (en-en)":87.58,"STS22 (en)":64.07,"STSBenchmark":86.52}
|
122 |
{"index":333,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":81.04,"BIOSSES":84.87,"SICK-R":79.18,"STS12":71.98,"STS13":85.52,"STS14":80.5,"STS15":87.51,"STS16":84.48,"STS17 (en-en)":88.11,"STS22 (en)":65.92,"STSBenchmark":82.34}
|
123 |
{"index":332,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":80.97,"BIOSSES":86.35,"SICK-R":80.6,"STS12":69.8,"STS13":83.27,"STS14":76.09,"STS15":86.12,"STS16":85.96,"STS17 (en-en)":90.25,"STS22 (en)":68.12,"STSBenchmark":83.17}
|
124 |
+
{"index":200,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":80.96,"BIOSSES":84.43,"SICK-R":79.2,"STS12":74.52,"STS13":83.16,"STS14":78.09,"STS15":86.91,"STS16":83.65,"STS17 (en-en)":90.16,"STS22 (en)":64.88,"STSBenchmark":84.6}
|
125 |
+
{"index":181,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":80.96,"BIOSSES":85.1,"SICK-R":79.66,"STS12":74.22,"STS13":83.31,"STS14":78.52,"STS15":88.35,"STS16":84.15,"STS17 (en-en)":87.23,"STS22 (en)":62.88,"STSBenchmark":86.18}
|
126 |
{"index":34,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.92,"BIOSSES":81.72,"SICK-R":79.65,"STS12":72.6,"STS13":82.88,"STS14":79.74,"STS15":86.98,"STS16":84.41,"STS17 (en-en)":89.22,"STS22 (en)":65.42,"STSBenchmark":86.58}
|
127 |
{"index":186,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.87,"BIOSSES":84.22,"SICK-R":78.9,"STS12":75.19,"STS13":81.8,"STS14":78.48,"STS15":87.49,"STS16":84.58,"STS17 (en-en)":87.94,"STS22 (en)":63.76,"STSBenchmark":86.36}
|
128 |
{"index":238,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.84,"BIOSSES":87.19,"SICK-R":74.19,"STS12":73.22,"STS13":84.77,"STS14":79.99,"STS15":87.27,"STS16":82.31,"STS17 (en-en)":89.54,"STS22 (en)":65.93,"STSBenchmark":83.96}
|
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|
131 |
{"index":133,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.72,"BIOSSES":79.96,"SICK-R":79.25,"STS12":78.37,"STS13":81.85,"STS14":80.85,"STS15":86.47,"STS16":84.48,"STS17 (en-en)":85.71,"STS22 (en)":65.38,"STSBenchmark":84.89}
|
132 |
{"index":138,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.72,"BIOSSES":81.26,"SICK-R":79.09,"STS12":75.04,"STS13":83.26,"STS14":78.62,"STS15":87.03,"STS16":83.01,"STS17 (en-en)":87.36,"STS22 (en)":68.11,"STSBenchmark":84.4}
|
133 |
{"index":203,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.7,"BIOSSES":81.23,"SICK-R":79.65,"STS12":74.27,"STS13":84.18,"STS14":78.81,"STS15":87.55,"STS16":85.35,"STS17 (en-en)":88.88,"STS22 (en)":62.2,"STSBenchmark":84.84}
|
134 |
+
{"index":136,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/arkohut\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.7,"BIOSSES":81.23,"SICK-R":79.65,"STS12":74.27,"STS13":84.18,"STS14":78.81,"STS15":87.55,"STS16":85.35,"STS17 (en-en)":88.88,"STS22 (en)":62.2,"STSBenchmark":84.84}
|
135 |
+
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138 |
{"index":211,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.47,"BIOSSES":80.72,"SICK-R":81.87,"STS12":70.75,"STS13":84.37,"STS14":74.51,"STS15":86.41,"STS16":84.74,"STS17 (en-en)":89.03,"STS22 (en)":65.87,"STSBenchmark":86.46}
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boards_data/en/data_tasks/Summarization/default.jsonl
CHANGED
@@ -22,88 +22,88 @@
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|
22 |
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23 |
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|
24 |
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27 |
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{"index":
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28 |
{"index":283,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":31.57}
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29 |
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{"index":
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32 |
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33 |
{"index":185,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.53}
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35 |
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{"index":
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37 |
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{"index":
|
38 |
{"index":220,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_glove\">M2V_base_glove<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":31.45}
|
39 |
{"index":76,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":31.45}
|
40 |
{"index":320,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.42}
|
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42 |
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{"index":
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|
48 |
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56 |
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{"index":8,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":30.97}
|
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{"index":197,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
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{"index":258,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.83}
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{"index":270,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.81}
|
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{"index":332,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":30.8}
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100 |
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|
102 |
{"index":207,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.73}
|
103 |
{"index":238,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.72}
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104 |
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{"index":
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105 |
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106 |
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107 |
{"index":246,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.7}
|
108 |
{"index":99,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-MiniLM-L12-v2-all-nli-triplet\">Arabic-MiniLM-L12-v2-all-nli-triplet<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.69}
|
109 |
{"index":282,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.67}
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@@ -117,37 +117,37 @@
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117 |
{"index":205,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.56}
|
118 |
{"index":133,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.53}
|
119 |
{"index":90,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test24\">test24<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.52}
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120 |
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{"index":
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{"index":
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152 |
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@@ -171,15 +171,15 @@
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172 |
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173 |
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177 |
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178 |
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180 |
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184 |
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185 |
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57 |
{"index":302,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Meta-Llama-3-8B-Instruct\">BinGSE-Meta-Llama-3-8B-Instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.19}
|
58 |
{"index":253,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
|
59 |
+
{"index":16,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"SummEval":31.17}
|
60 |
+
{"index":298,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
|
61 |
{"index":18,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.17}
|
62 |
+
{"index":151,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/compressa-ai\/Compressa-Embeddings\">Compressa-Embeddings<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.16}
|
63 |
{"index":112,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.16}
|
64 |
+
{"index":122,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.16}
|
65 |
+
{"index":187,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.16}
|
66 |
{"index":254,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/unsup-simcse-bert-base-uncased\">unsup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.15}
|
67 |
+
{"index":67,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":31.14}
|
68 |
+
{"index":140,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.14}
|
69 |
{"index":335,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":31.12}
|
70 |
{"index":194,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"SummEval":31.1}
|
71 |
+
{"index":142,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.07}
|
72 |
+
{"index":23,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.07}
|
73 |
{"index":53,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Haon-Chen\/speed-embedding-7b-instruct\">speed-embedding-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.06}
|
74 |
+
{"index":161,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.05}
|
75 |
+
{"index":268,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.05}
|
76 |
+
{"index":336,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"SummEval":31.03}
|
77 |
+
{"index":95,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":31.03}
|
78 |
{"index":209,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.01}
|
79 |
+
{"index":181,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.01}
|
80 |
+
{"index":9,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":31.01}
|
81 |
{"index":37,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.99}
|
82 |
{"index":69,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.98}
|
83 |
+
{"index":81,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.97}
|
84 |
+
{"index":183,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.97}
|
85 |
{"index":8,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":30.97}
|
86 |
{"index":197,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
|
87 |
{"index":139,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.96}
|
88 |
{"index":75,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":30.94}
|
89 |
+
{"index":252,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pingkeest\/learning2_model\">learning2_model<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":30.91}
|
90 |
+
{"index":19,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":30.91}
|
91 |
{"index":137,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.87}
|
92 |
+
{"index":116,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.84}
|
93 |
+
{"index":6,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"SummEval":30.84}
|
94 |
{"index":258,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.83}
|
95 |
+
{"index":212,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.82}
|
96 |
+
{"index":113,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.82}
|
97 |
{"index":270,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.81}
|
98 |
{"index":332,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":30.8}
|
99 |
+
{"index":303,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tsirif\/BinGSE-Sheared-LLaMA\">BinGSE-Sheared-LLaMA<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.79}
|
100 |
+
{"index":308,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":30.79}
|
101 |
{"index":24,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.77}
|
102 |
{"index":207,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.73}
|
103 |
{"index":238,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.72}
|
104 |
+
{"index":199,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.71}
|
105 |
+
{"index":85,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.71}
|
106 |
+
{"index":111,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.71}
|
107 |
{"index":246,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.7}
|
108 |
{"index":99,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-MiniLM-L12-v2-all-nli-triplet\">Arabic-MiniLM-L12-v2-all-nli-triplet<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.69}
|
109 |
{"index":282,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.67}
|
|
|
117 |
{"index":205,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.56}
|
118 |
{"index":133,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aliakseilabanau\/bge-small-en\">bge-small-en<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.53}
|
119 |
{"index":90,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test24\">test24<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.52}
|
120 |
+
{"index":274,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":30.49}
|
121 |
+
{"index":129,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/abhinand\/MedEmbed-small-v0.1\">MedEmbed-small-v0.1<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.49}
|
122 |
{"index":241,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.47}
|
123 |
{"index":190,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":30.46}
|
124 |
{"index":92,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEval":30.43}
|
125 |
{"index":300,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.42}
|
126 |
+
{"index":36,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.41}
|
127 |
+
{"index":127,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
128 |
{"index":109,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
129 |
+
{"index":243,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.4}
|
130 |
{"index":322,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
131 |
+
{"index":48,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"SummEval":30.39}
|
132 |
+
{"index":97,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.38}
|
133 |
+
{"index":297,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tensorblock\/GritLM-7B-GGUF\">GritLM-7B-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.37}
|
134 |
{"index":30,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BreakShoot\/GritLM-7B-Q4_K_M-GGUF\">GritLM-7B-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.37}
|
135 |
+
{"index":119,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
|
136 |
{"index":244,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nthakur\/contriever-base-msmarco\">contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
|
137 |
+
{"index":117,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.31}
|
138 |
+
{"index":83,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Squirtle\">Squirtle<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.3}
|
139 |
+
{"index":182,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.28}
|
140 |
+
{"index":165,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"SummEval":30.28}
|
141 |
+
{"index":66,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.26}
|
142 |
{"index":94,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":30.26}
|
143 |
+
{"index":210,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.25}
|
144 |
+
{"index":188,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.23}
|
145 |
+
{"index":278,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.21}
|
146 |
+
{"index":184,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.19}
|
147 |
{"index":78,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.19}
|
148 |
+
{"index":63,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.19}
|
149 |
+
{"index":35,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.18}
|
150 |
+
{"index":177,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.17}
|
151 |
{"index":100,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-all-nli-triplet-Matryoshka\">Arabic-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.16}
|
152 |
{"index":314,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wangjinzzhong\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.12}
|
153 |
{"index":54,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HowardC\/bge-small-en-v1.5-Q4_K_M-GGUF\">bge-small-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.12}
|
|
|
171 |
{"index":204,"Rank":171,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":29.87}
|
172 |
{"index":22,"Rank":172,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AndreasX\/jina-embeddings-v2-base-es-Q4_K_M-GGUF\">jina-embeddings-v2-base-es-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.87}
|
173 |
{"index":251,"Rank":173,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.87}
|
174 |
+
{"index":200,"Rank":174,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.85}
|
175 |
+
{"index":174,"Rank":175,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.85}
|
176 |
{"index":135,"Rank":176,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"SummEval":29.83}
|
177 |
{"index":173,"Rank":177,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-uncased\">bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.82}
|
178 |
{"index":49,"Rank":178,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.82}
|
179 |
{"index":316,"Rank":179,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.78}
|
180 |
{"index":309,"Rank":180,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":29.71}
|
181 |
+
{"index":179,"Rank":181,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.71}
|
182 |
+
{"index":206,"Rank":182,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEval":29.71}
|
183 |
{"index":93,"Rank":183,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-msmarco-specb-bitfit\">SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":29.71}
|
184 |
{"index":276,"Rank":184,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.67}
|
185 |
{"index":189,"Rank":185,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":29.64}
|
boards_data/other-sts/data_tasks/STS/default.jsonl
CHANGED
@@ -189,7 +189,7 @@
|
|
189 |
{"index":163,"Rank":189,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.43}
|
190 |
{"index":164,"Rank":190,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.88}
|
191 |
{"index":165,"Rank":191,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.56}
|
192 |
-
{"index":166,"Rank":192,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.
|
193 |
{"index":167,"Rank":193,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.52}
|
194 |
{"index":168,"Rank":194,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":87.96,"STS17 (en-tr)":"","STS17 (es-en)":87.26,"STS17 (es-es)":88.78,"STS17 (fr-en)":87.56,"STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":61.61,"STS22 (de-en)":60.89,"STS22 (de-fr)":58.26,"STS22 (de-pl)":56.82,"STS22 (es)":72.21,"STS22 (es-en)":78.46,"STS22 (es-it)":"","STS22 (fr)":83.29,"STS22 (fr-pl)":84.52,"STS22 (it)":"","STS22 (pl)":45.14,"STS22 (pl-en)":76.18,"STS22 (ru)":65.09,"STS22 (tr)":"","STS22 (zh-en)":73.4,"STSBenchmark":89.44}
|
195 |
{"index":169,"Rank":195,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.45}
|
|
|
189 |
{"index":163,"Rank":189,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.43}
|
190 |
{"index":164,"Rank":190,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.88}
|
191 |
{"index":165,"Rank":191,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.56}
|
192 |
+
{"index":166,"Rank":192,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/huizhang0110\/hui-embedding\">hui-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.47}
|
193 |
{"index":167,"Rank":193,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hxstar\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.52}
|
194 |
{"index":168,"Rank":194,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":87.96,"STS17 (en-tr)":"","STS17 (es-en)":87.26,"STS17 (es-es)":88.78,"STS17 (fr-en)":87.56,"STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":61.61,"STS22 (de-en)":60.89,"STS22 (de-fr)":58.26,"STS22 (de-pl)":56.82,"STS22 (es)":72.21,"STS22 (es-en)":78.46,"STS22 (es-it)":"","STS22 (fr)":83.29,"STS22 (fr-pl)":84.52,"STS22 (it)":"","STS22 (pl)":45.14,"STS22 (pl-en)":76.18,"STS22 (ru)":65.09,"STS22 (tr)":"","STS22 (zh-en)":73.4,"STSBenchmark":89.44}
|
195 |
{"index":169,"Rank":195,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.45}
|