--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - allknowingroger/Qwenslerp2-7B - newsbang/Homer-v0.4-Qwen2.5-7B model-index: - name: HomerSlerp2-7B results: - task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics: - type: inst_level_strict_acc and prompt_level_strict_acc value: 44.87 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/HomerSlerp2-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics: - type: acc_norm value: 37.96 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/HomerSlerp2-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics: - type: exact_match value: 28.55 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/HomerSlerp2-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics: - type: acc_norm value: 9.28 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/HomerSlerp2-7B 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: 12.85 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/HomerSlerp2-7B 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: 39.05 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/HomerSlerp2-7B 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 SLERP merge method. ### Models Merged The following models were included in the merge: * [allknowingroger/Qwenslerp2-7B](https://huggingface.co/allknowingroger/Qwenslerp2-7B) * [newsbang/Homer-v0.4-Qwen2.5-7B](https://huggingface.co/newsbang/Homer-v0.4-Qwen2.5-7B) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: newsbang/Homer-v0.4-Qwen2.5-7B - model: allknowingroger/Qwenslerp2-7B merge_method: slerp base_model: newsbang/Homer-v0.4-Qwen2.5-7B dtype: bfloat16 parameters: t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers ``` # [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/details_allknowingroger__HomerSlerp2-7B) | Metric |Value| |-------------------|----:| |Avg. |28.76| |IFEval (0-Shot) |44.87| |BBH (3-Shot) |37.96| |MATH Lvl 5 (4-Shot)|28.55| |GPQA (0-shot) | 9.28| |MuSR (0-shot) |12.85| |MMLU-PRO (5-shot) |39.05|