--- library_name: transformers tags: - mergekit - merge base_model: - elinas/Chronos-Gold-12B-1.0 - ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2 - nbeerbower/Mistral-Nemo-Prism-12B model-index: - name: Chronos-Prism_V1.0 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: 32.59 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0 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: 36.58 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0 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: 11.63 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0 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: 7.94 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0 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: 14.28 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0 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: 29.7 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0 name: Open LLM Leaderboard --- Model details: - ![image/webp](https://cdn-uploads.huggingface.co/production/uploads/66c1cc08453a7ef6c5fe657a/obRjltZGWzWfiU-u-MMRL.webp) This is definately not perfect, but it does feel pretty close. Feedback is welcome, as always. --- # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Method This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [nbeerbower/Mistral-Nemo-Prism-12B](https://huggingface.co/nbeerbower/Mistral-Nemo-Prism-12B) as a base. ### Models Merged The following models were included in the merge: * [elinas/Chronos-Gold-12B-1.0](https://huggingface.co/elinas/Chronos-Gold-12B-1.0) * [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: nbeerbower/Mistral-Nemo-Prism-12B #no parameters necessary for base model - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2 parameters: density: 0.5 weight: 0.5 - model: elinas/Chronos-Gold-12B-1.0 parameters: density: 0.5 weight: 0.5 merge_method: ties base_model: nbeerbower/Mistral-Nemo-Prism-12B parameters: normalize: false int8_mask: true dtype: float16 ``` # [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/Triangle104__Chronos-Prism_V1.0-details) | Metric |Value| |-------------------|----:| |Avg. |22.12| |IFEval (0-Shot) |32.59| |BBH (3-Shot) |36.58| |MATH Lvl 5 (4-Shot)|11.63| |GPQA (0-shot) | 7.94| |MuSR (0-shot) |14.28| |MMLU-PRO (5-shot) |29.70|