--- license: apache-2.0 tags: - merge - mergekit - lazymergekit - fblgit/UNA-TheBeagle-7b-v1 - rishiraj/CatPPT-base model-index: - name: caTUNABeagle results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 70.05 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Eric111/caTUNABeagle name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 87.35 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Eric111/caTUNABeagle name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 65.02 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Eric111/caTUNABeagle name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 65.31 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Eric111/caTUNABeagle name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 81.22 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Eric111/caTUNABeagle name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 71.34 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Eric111/caTUNABeagle name: Open LLM Leaderboard --- # caTUNABeagle caTUNABeagle is a merge of the following models using [mergekit](https://github.com/cg123/mergekit): * [fblgit/UNA-TheBeagle-7b-v1](https://huggingface.co/fblgit/UNA-TheBeagle-7b-v1) * [rishiraj/CatPPT-base](https://huggingface.co/rishiraj/CatPPT-base) ## 🧩 Configuration ```yaml slices: - sources: - model: fblgit/UNA-TheBeagle-7b-v1 layer_range: [0, 32] - model: rishiraj/CatPPT-base layer_range: [0, 32] merge_method: slerp base_model: fblgit/UNA-TheBeagle-7b-v1 parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 dtype: bfloat16 ``` # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Eric111__caTUNABeagle) | Metric |Value| |---------------------------------|----:| |Avg. |73.38| |AI2 Reasoning Challenge (25-Shot)|70.05| |HellaSwag (10-Shot) |87.35| |MMLU (5-Shot) |65.02| |TruthfulQA (0-shot) |65.31| |Winogrande (5-shot) |81.22| |GSM8k (5-shot) |71.34|