added vlm2vec qwen 2b (#31)

- updated results (23bbbe348e11ee7d250447f80167965275b8475a)

results.csv

@@ -19,7 +19,8 @@ mmE5-mllama-11b-instruct,10.6,Self-Reported,69.8,67.6,62.6,71.0,89.6
 mmE5 (w/ 560K synthetic data),10.6,Self-Reported,58.6,60.6,55.7,54.7,72.4
 MM-Embed,8.18,Self-Reported,50.0,48.1,32.3,63.8,57.8
 gme-Qwen2-VL-2B-Instruct,2.21,Self-Reported,55.8,56.9,41.2,67.8,53.4
-VLM2Vec (Qwen2-VL-LoRA-HighRes),8.29,TIGER-Lab,65.8,62.6,57.8,69.9,81.7
+VLM2Vec (Qwen2-VL-7B-LoRA-HighRes),8.29,TIGER-Lab,65.8,62.6,57.8,69.9,81.7
+VLM2Vec (Qwen2-VL-2B-LoRA-HighRes),2.21,TIGER-Lab,59.3,59.0,49.4,65.4,73.4
 LLaVE-7B,8.03,Self-Reported,70.3,65.7,65.4,70.9,91.9
 LLaVE-2B,1.95,Self-Reported,65.2,62.1,60.2,65.2,84.9
 LLaVE-0.5B,0.894,Self-Reported,59.1,57.4,50.3,59.8,82.9

utils.py

@@ -107,7 +107,8 @@ MODEL_URLS = {
     "MMRet": "https://huggingface.co/JUNJIE99/MMRet-large", 
     "VLM2Vec-Phi-3.5-v": "https://huggingface.co/TIGER-Lab/VLM2Vec-Full",
     "VLM2Vec": "https://github.com/TIGER-AI-Lab/VLM2Vec", 
-    "VLM2Vec (Qwen2-VL-LoRA-HighRes)": "https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL", 
+    "VLM2Vec (Qwen2-VL-7B-LoRA-HighRes)": "https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B", 
+    "VLM2Vec (Qwen2-VL-2B-LoRA-HighRes)": "https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B"
     "UniIR": "https://huggingface.co/TIGER-Lab/UniIR", 
     "OpenCLIP-FT": "https://doi.org/10.48550/arXiv.2212.07143", 
     "CLIP-FT": "https://doi.org/10.48550/arXiv.2103.00020",