| The LLaMA based Pygmalion-7b model: | |
| https://huggingface.co/PygmalionAI/pygmalion-7b | |
| Merged alongside lmsys's Vicuna v1.1 deltas: | |
| https://huggingface.co/lmsys/vicuna-13b-delta-v1.1 | |
| This merge was done using an weighted average merge strategy, and the end result is a model composed of: | |
| Pygmalion-7b [60%] + LLaMA Vicuna v1.1 [40%] | |
| This was done under request, but the end result is intended to lean heavily towards Pygmalion's chatting + RP tendencies, and to inherit some of Vicuna's Assistant / Instruct / Helpful properties. | |
| Due to the influence of Pygmalion, this model will very likely generate content that is considered NSFW. | |
| The specific prompting is unknown, but try Pygmalion's prompt styles first, | |
| then a mix of the two to see what brings most interesting results. | |
| 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-Vicuna-1.1-7b) | |
| | Metric | Value | | |
| |-----------------------|---------------------------| | |
| | Avg. | 43.35 | | |
| | ARC (25-shot) | 52.82 | | |
| | HellaSwag (10-shot) | 78.66 | | |
| | MMLU (5-shot) | 43.61 | | |
| | TruthfulQA (0-shot) | 42.21 | | |
| | Winogrande (5-shot) | 71.98 | | |
| | GSM8K (5-shot) | 6.22 | | |
| | DROP (3-shot) | 7.97 | | |