--- library_name: transformers tags: - mergekit - merge base_model: - grimjim/magnum-twilight-12b - Nohobby/MN-12B-Siskin-v0.2 - RozGrov/NemoDori-v0.2.2-12B-MN-ties - spow12/ChatWaifu_v1.4 - ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3 - GalrionSoftworks/Canidori-12B-v1 model-index: - name: MN-Chinofun-12B-3 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: 30.53 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/MN-Chinofun-12B-3 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: 34.22 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/MN-Chinofun-12B-3 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: 8.69 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/MN-Chinofun-12B-3 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: 2.13 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/MN-Chinofun-12B-3 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: 10.91 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/MN-Chinofun-12B-3 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: 22.51 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/MN-Chinofun-12B-3 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3) as a base. ### Models Merged The following models were included in the merge: * [grimjim/magnum-twilight-12b](https://huggingface.co/grimjim/magnum-twilight-12b) * [Nohobby/MN-12B-Siskin-v0.2](https://huggingface.co/Nohobby/MN-12B-Siskin-v0.2) * [RozGrov/NemoDori-v0.2.2-12B-MN-ties](https://huggingface.co/RozGrov/NemoDori-v0.2.2-12B-MN-ties) * [spow12/ChatWaifu_v1.4](https://huggingface.co/spow12/ChatWaifu_v1.4) * [GalrionSoftworks/Canidori-12B-v1](https://huggingface.co/GalrionSoftworks/Canidori-12B-v1) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: Nohobby/MN-12B-Siskin-v0.2 - model: spow12/ChatWaifu_v1.4 - model: grimjim/magnum-twilight-12b - model: RozGrov/NemoDori-v0.2.2-12B-MN-ties - model: GalrionSoftworks/Canidori-12B-v1 merge_method: model_stock base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3 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__MN-Chinofun-12B-3) | Metric |Value| |-------------------|----:| |Avg. |18.16| |IFEval (0-Shot) |30.53| |BBH (3-Shot) |34.22| |MATH Lvl 5 (4-Shot)| 8.69| |GPQA (0-shot) | 2.13| |MuSR (0-shot) |10.91| |MMLU-PRO (5-shot) |22.51|