--- base_model: - FuseAI/FuseChat-Llama-3.1-8B-SFT - kik41/lora-type-expository-llama-3-8b-v2 - Sao10K/L3-8B-Stheno-v3.2 - kik41/lora-sarcasm-more-llama-3-8b-v2 library_name: transformers tags: - mergekit - merge model-index: - name: Rusted_Platinum-8B-LINEAR results: - task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: wis-k/instruction-following-eval split: train args: num_few_shot: 0 metrics: - type: inst_level_strict_acc and prompt_level_strict_acc value: 71.8 name: averaged accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FRusted_Platinum-8B-LINEAR name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: SaylorTwift/bbh split: test args: num_few_shot: 3 metrics: - type: acc_norm value: 34.79 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FRusted_Platinum-8B-LINEAR name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: lighteval/MATH-Hard split: test args: num_few_shot: 4 metrics: - type: exact_match value: 17.22 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FRusted_Platinum-8B-LINEAR name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa split: train args: num_few_shot: 0 metrics: - type: acc_norm value: 4.03 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FRusted_Platinum-8B-LINEAR name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics: - type: acc_norm value: 8.82 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FRusted_Platinum-8B-LINEAR name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 30.33 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FRusted_Platinum-8B-LINEAR name: Open LLM Leaderboard --- # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the [Linear](https://arxiv.org/abs/2203.05482) merge method. ### Models Merged The following models were included in the merge: * [FuseAI/FuseChat-Llama-3.1-8B-SFT](https://huggingface.co/FuseAI/FuseChat-Llama-3.1-8B-SFT) + [kik41/lora-type-expository-llama-3-8b-v2](https://huggingface.co/kik41/lora-type-expository-llama-3-8b-v2) * [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) + [kik41/lora-sarcasm-more-llama-3-8b-v2](https://huggingface.co/kik41/lora-sarcasm-more-llama-3-8b-v2) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: Sao10K/L3-8B-Stheno-v3.2+kik41/lora-sarcasm-more-llama-3-8b-v2 parameters: weight: 1.0 - model: FuseAI/FuseChat-Llama-3.1-8B-SFT+kik41/lora-type-expository-llama-3-8b-v2 parameters: weight: 1.0 merge_method: linear normalize: false int8_mask: true dtype: bfloat16 ``` # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/DreadPoor__Rusted_Platinum-8B-LINEAR-details)! Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=DreadPoor%2FRusted_Platinum-8B-LINEAR&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)! | Metric |Value (%)| |-------------------|--------:| |**Average** | 27.83| |IFEval (0-Shot) | 71.80| |BBH (3-Shot) | 34.79| |MATH Lvl 5 (4-Shot)| 17.22| |GPQA (0-shot) | 4.03| |MuSR (0-shot) | 8.82| |MMLU-PRO (5-shot) | 30.33|