--- library_name: transformers tags: - mergekit - merge base_model: - IlyaGusev/gemma-2-9b-it-abliterated - crestf411/gemstone-9b - BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference - lemon07r/Gemma-2-Ataraxy-9B model-index: - name: Gemma-2-gemmama-9b 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: 77.03 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b 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: 32.92 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b 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: 0.0 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b 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: 11.41 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b 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: 8.46 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b 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: 23.44 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [IlyaGusev/gemma-2-9b-it-abliterated](https://huggingface.co/IlyaGusev/gemma-2-9b-it-abliterated) as a base. ### Models Merged The following models were included in the merge: * [crestf411/gemstone-9b](https://huggingface.co/crestf411/gemstone-9b) * [BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference](https://huggingface.co/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference) * [lemon07r/Gemma-2-Ataraxy-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: IlyaGusev/gemma-2-9b-it-abliterated #no parameters necessary for base model - model: BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference parameters: density: 0.6 weight: 0.25 - model: lemon07r/Gemma-2-Ataraxy-9B parameters: density: 0.4 weight: 0.3 - model: crestf411/gemstone-9b parameters: density: 0.4 weight: 0.2 merge_method: dare_ties base_model: IlyaGusev/gemma-2-9b-it-abliterated parameters: normalize: false 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/details_djuna__Gemma-2-gemmama-9b) | Metric |Value| |-------------------|----:| |Avg. |25.54| |IFEval (0-Shot) |77.03| |BBH (3-Shot) |32.92| |MATH Lvl 5 (4-Shot)| 0.00| |GPQA (0-shot) |11.41| |MuSR (0-shot) | 8.46| |MMLU-PRO (5-shot) |23.44|