| ## Fresh Alpasta, done Al Dente! | |
| It's da *logical* choice! Now with a similar personality emulation quality to [GPT4-X-Alpasta-30b!](https://huggingface.co/MetaIX/GPT4-X-Alpasta-30b) | |
| ## Model Info: | |
| ChanSung's [Alpaca-LoRA-30B-elina](https://huggingface.co/LLMs/Alpaca-LoRA-30B-elina) merged with [Open Assistant's second Finetune](https://huggingface.co/OpenAssistant/oasst-sft-7-llama-30b-xor) | |
| ## Benchmarks: | |
| **Wikitext2:** 4.662261962890625 | |
| **PTB:** 24.547462463378906 | |
| **C4:** 7.05504846572876 | |
| [4bit](https://huggingface.co/Aeala/GPT4-x-AlpacaDente2-30b/blob/main/4bit.safetensors): | |
| **Wikitext2:** 5.016242980957031 | |
| **PTB:** 25.576189041137695 | |
| **C4:** 7.332120418548584 | |
| ~ Thanks to [askmyteapot](https://huggingface.co/askmyteapot) for performing these benchmarks! | |
| # [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_Aeala__GPT4-x-AlpacaDente2-30b) | |
| | Metric | Value | | |
| |-----------------------|---------------------------| | |
| | Avg. | 57.05 | | |
| | ARC (25-shot) | 60.58 | | |
| | HellaSwag (10-shot) | 81.81 | | |
| | MMLU (5-shot) | 56.63 | | |
| | TruthfulQA (0-shot) | 48.38 | | |
| | Winogrande (5-shot) | 78.14 | | |
| | GSM8K (5-shot) | 26.76 | | |
| | DROP (3-shot) | 47.06 | | |