--- library_name: transformers tags: - mergekit - merge base_model: - nbeerbower/mistral-nemo-gutenberg-12B-v3 - nbeerbower/Lyra-Gutenberg-mistral-nemo-12B - nbeerbower/mistral-nemo-gutenberg-12B-v4 - nbeerbower/mistral-nemo-bophades-12B model-index: - name: Stella-mistral-nemo-12B-v2 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: 32.74 name: strict accuracy source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 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: 35.36 name: normalized accuracy source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 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: 10.42 name: exact match source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 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: 10.96 name: acc_norm source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 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: 14.43 name: acc_norm source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 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: 29.83 name: accuracy source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 name: Open LLM Leaderboard --- # Stella-mistral-nemo-12B-v2 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [nbeerbower/mistral-nemo-bophades-12B](https://huggingface.co./nbeerbower/mistral-nemo-bophades-12B) as a base. ### Models Merged The following models were included in the merge: * [nbeerbower/mistral-nemo-gutenberg-12B-v3](https://huggingface.co./nbeerbower/mistral-nemo-gutenberg-12B-v3) * [nbeerbower/Lyra-Gutenberg-mistral-nemo-12B](https://huggingface.co./nbeerbower/Lyra-Gutenberg-mistral-nemo-12B) * [nbeerbower/mistral-nemo-gutenberg-12B-v4](https://huggingface.co./nbeerbower/mistral-nemo-gutenberg-12B-v4) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: nbeerbower/Lyra-Gutenberg-mistral-nemo-12B - model: nbeerbower/mistral-nemo-gutenberg-12B-v4 - model: nbeerbower/mistral-nemo-gutenberg-12B-v3 merge_method: model_stock base_model: nbeerbower/mistral-nemo-bophades-12B 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_nbeerbower__Stella-mistral-nemo-12B-v2) | Metric |Value| |-------------------|----:| |Avg. |22.29| |IFEval (0-Shot) |32.74| |BBH (3-Shot) |35.36| |MATH Lvl 5 (4-Shot)|10.42| |GPQA (0-shot) |10.96| |MuSR (0-shot) |14.43| |MMLU-PRO (5-shot) |29.83|