| license: apache-2.0 | |
| Model is instruction-finetuned using Open-Platypus dataset: https://huggingface.co/datasets/garage-bAInd/Open-Platypus | |
| # [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/details_akjindal53244__Mistral-7B-v0.1-Open-Platypus) | |
| | Metric | Value | | |
| |-----------------------|---------------------------| | |
| | Avg. | 53.64 | | |
| | ARC (25-shot) | 62.37 | | |
| | HellaSwag (10-shot) | 85.08 | | |
| | MMLU (5-shot) | 63.79 | | |
| | TruthfulQA (0-shot) | 47.33 | | |
| | Winogrande (5-shot) | 77.66 | | |
| | GSM8K (5-shot) | 17.29 | | |
| | DROP (3-shot) | 21.93 | | |