--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - cognitivecomputations/Dolphin3.0-R1-Mistral-24B - SicariusSicariiStuff/Redemption_Wind_24B - unsloth/Mistral-Small-24B-Base-2501 model-index: - name: Mistral-Redemption-Arc 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: 40.29 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Redemption-Arc 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: 46.28 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Redemption-Arc 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: 41.01 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Redemption-Arc 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: 12.98 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Redemption-Arc 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: 17.17 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Redemption-Arc 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: 39.0 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Redemption-Arc name: Open LLM Leaderboard --- # 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 [unsloth/Mistral-Small-24B-Base-2501](https://huggingface.co/unsloth/Mistral-Small-24B-Base-2501) as a base. ### Models Merged The following models were included in the merge: * [cognitivecomputations/Dolphin3.0-R1-Mistral-24B](https://huggingface.co/cognitivecomputations/Dolphin3.0-R1-Mistral-24B) * [SicariusSicariiStuff/Redemption_Wind_24B](https://huggingface.co/SicariusSicariiStuff/Redemption_Wind_24B) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: unsloth/Mistral-Small-24B-Base-2501 #no parameters necessary for base model - model: SicariusSicariiStuff/Redemption_Wind_24B parameters: density: 0.5 weight: 0.5 - model: cognitivecomputations/Dolphin3.0-R1-Mistral-24B parameters: density: 0.5 weight: 0.5 merge_method: ties base_model: unsloth/Mistral-Small-24B-Base-2501 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__Mistral-Redemption-Arc-details) | Metric |Value| |-------------------|----:| |Avg. |32.79| |IFEval (0-Shot) |40.29| |BBH (3-Shot) |46.28| |MATH Lvl 5 (4-Shot)|41.01| |GPQA (0-shot) |12.98| |MuSR (0-shot) |17.17| |MMLU-PRO (5-shot) |39.00|