33 lines
1.2 KiB
Markdown
33 lines
1.2 KiB
Markdown
---
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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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base_model:
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- mistralai/Mistral-7B-v0.1
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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 | |