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--- |
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license: cc-by-4.0 |
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tags: |
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- mistral |
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- merge |
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pipeline_tag: text-generation |
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model-index: |
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- name: smol_bruin-7b |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 67.58 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 86.48 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 65.05 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 55.65 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 81.14 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 70.43 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b |
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name: Open LLM Leaderboard |
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--- |
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# Model Card for smol_bruin-7b |
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<!-- Provide a quick summary of what the model is/does. --> |
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Slerp merge of go-bruins-v2 and smol-7b. |
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.yaml file for mergekit |
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```.yaml: |
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slices: |
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- sources: |
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- model: rwitz/go-bruins-v2 |
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layer_range: [0, 32] |
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- model: rishiraj/smol-7b |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: mistralai/Mistral-7B-v0.1 |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0.44, 0.72, 0.61, 0.83, 1] |
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- filter: mlp |
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value: [0.56, 0.28, 0.39, 0.17, 0] |
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- value: 0.5 # fallback for rest of tensors |
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dtype: float16 |
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``` |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Azazelle__smol_bruin-7b) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |71.05| |
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|AI2 Reasoning Challenge (25-Shot)|67.58| |
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|HellaSwag (10-Shot) |86.48| |
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|MMLU (5-Shot) |65.05| |
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|TruthfulQA (0-shot) |55.65| |
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|Winogrande (5-shot) |81.14| |
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|GSM8k (5-shot) |70.43| |
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