| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| GPTNeo350M-Instruct-SFT - bnb 8bits | |
| - Model creator: https://huggingface.co/SummerSigh/ | |
| - Original model: https://huggingface.co/SummerSigh/GPTNeo350M-Instruct-SFT/ | |
| Original model description: | |
| --- | |
| license: apache-2.0 | |
| --- | |
| # [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_SummerSigh__GPTNeo350M-Instruct-SFT) | |
| | Metric | Value | | |
| |-----------------------|---------------------------| | |
| | Avg. | 27.03 | | |
| | ARC (25-shot) | 25.94 | | |
| | HellaSwag (10-shot) | 38.55 | | |
| | MMLU (5-shot) | 25.76 | | |
| | TruthfulQA (0-shot) | 45.25 | | |
| | Winogrande (5-shot) | 50.2 | | |
| | GSM8K (5-shot) | 0.3 | | |
| | DROP (3-shot) | 3.24 | | |