--- license: apache-2.0 datasets: - Open-Orca/SlimOrca tags: - mistral - finetune --- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/x44nNbPTpv0zGTqA1Jb2q.png) Merge of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) and [Intel/neural-chat-7b-v3-1](https://huggingface.co/Intel/neural-chat-7b-v3-1) using ties merge. ### *Weights* - [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B): 0.5 - [Intel/neural-chat-7b-v3-1](https://huggingface.co/Intel/neural-chat-7b-v3-1): 0.3 ### *Density* - [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B): 0.5 - [Intel/neural-chat-7b-v3-1](https://huggingface.co/Intel/neural-chat-7b-v3-1): 0.5 # Prompt Templates You can use these prompt templates, but I recommend using ChatML. ### ChatML [(OpenHermes-2.5-Mistral-7B)](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B): ``` <|im_start|>system {system} <|im_start|>user {user}<|im_end|> <|im_start|>assistant {asistant}<|im_end|> ``` ### [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B): ``` ### System: {system} ### User: {usr} ### Assistant: ``` # Quantizationed versions Quantizationed versions of this model is available thanks to [TheBloke](https://hf.co/TheBloke). ##### GPTQ - [TheBloke/OpenHermes-2.5-neural-chat-7B-v3-1-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-7B-v3-1-7B-GPTQ) ##### GGUF - [TheBloke/OpenHermes-2.5-neural-chat-7B-v3-1-7B-GGUF](https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-7B-v3-1-7B-GGUF) ##### AWQ - [TheBloke/OpenHermes-2.5-neural-chat-7B-v3-1-7B-AWQ](https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-7B-v3-1-7B-AWQ) # [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_Weyaxi__OpenHermes-2.5-neural-chat-7b-v3-1-7B) | Metric | Value | |-----------------------|---------------------------| | Avg. | 58.6 | | ARC (25-shot) | 66.55 | | HellaSwag (10-shot) | 84.47 | | MMLU (5-shot) | 63.34 | | TruthfulQA (0-shot) | 61.22 | | Winogrande (5-shot) | 78.37 | | GSM8K (5-shot) | 23.58 | | DROP (3-shot) | 32.66 |