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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- mergekit |
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- merge |
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base_model: |
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- NeverSleep/Noromaid-7B-0.4-DPO |
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- Undi95/Toppy-M-7B |
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- mistralai/Mistral-7B-v0.1 |
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- senseable/WestLake-7B-v2 |
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model-index: |
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- name: Top-Western-Maid-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: 69.37 |
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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=saishf/Top-Western-Maid-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: 87.4 |
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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=saishf/Top-Western-Maid-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: 64.63 |
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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=saishf/Top-Western-Maid-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: 58.79 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Top-Western-Maid-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: 83.27 |
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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=saishf/Top-Western-Maid-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: 65.96 |
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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=saishf/Top-Western-Maid-7B |
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name: Open LLM Leaderboard |
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--- |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO) |
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* [Undi95/Toppy-M-7B](https://huggingface.co/Undi95/Toppy-M-7B) |
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* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: mistralai/Mistral-7B-v0.1 |
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# No parameters necessary for base model |
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- model: senseable/WestLake-7B-v2 |
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parameters: |
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density: 0.53 |
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weight: 0.55 |
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- model: NeverSleep/Noromaid-7B-0.4-DPO |
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parameters: |
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density: 0.53 |
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weight: 0.30 |
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- model: Undi95/Toppy-M-7B |
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parameters: |
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density: 0.53 |
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weight: 0.15 |
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merge_method: dare_ties |
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base_model: mistralai/Mistral-7B-v0.1 |
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parameters: |
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int8_mask: true |
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dtype: bfloat16 |
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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_saishf__Top-Western-Maid-7B) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |71.57| |
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|AI2 Reasoning Challenge (25-Shot)|69.37| |
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|HellaSwag (10-Shot) |87.40| |
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|MMLU (5-Shot) |64.63| |
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|TruthfulQA (0-shot) |58.79| |
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|Winogrande (5-shot) |83.27| |
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|GSM8k (5-shot) |65.96| |
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