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--- |
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license: apache-2.0 |
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datasets: |
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- meta-math/MetaMathQA |
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language: |
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- en |
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pipeline_tag: text-generation |
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tags: |
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- Math |
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--- |
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## Optimus-7B |
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<img src="_c3f4a76b-c0b1-4fba-9537-33f8fd697f2d.jpg" width="300" height="200" alt="Optimus-7B"> |
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Fine-tuned On [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) with [meta-math/MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA) |
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You can use ChatML format. |
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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/results/blob/main/Q-bert/Optimus-7B/results_2023-12-04T18-59-49.207215.json) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 69.09 | |
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| ARC (25-shot) | 65.44 | |
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| HellaSwag (10-shot) | 85.41 | |
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| MMLU (5-shot) | 63.61 | |
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| TruthfulQA (0-shot) | 55.79 | |
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| Winogrande (5-shot) | 78.77 | |
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| GSM8K (5-shot) | 65.50 | |
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