| The LLaMA based Pygmalion-7b model: | |
| https://huggingface.co/PygmalionAI/pygmalion-7b | |
| Merged alongside Tloen's Alpaca LoRA: | |
| https://huggingface.co/tloen/alpaca-lora-7b | |
| This was done to test whether LoRAs trained for other LLaMA fine tunes worked for Pygmalion, | |
| and to have it available on inference backends that do not support LoRAs just yet. | |
| Treat this as a normal HF Transformers model. | |
| # [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_TehVenom__Pygmalion_AlpacaLora-7b) | |
| | Metric | Value | | |
| |-----------------------|---------------------------| | |
| | Avg. | 44.27 | | |
| | ARC (25-shot) | 53.24 | | |
| | HellaSwag (10-shot) | 76.92 | | |
| | MMLU (5-shot) | 35.92 | | |
| | TruthfulQA (0-shot) | 39.44 | | |
| | Winogrande (5-shot) | 72.22 | | |
| | GSM8K (5-shot) | 1.21 | | |
| | DROP (3-shot) | 30.91 | | |