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