![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/x44nNbPTpv0zGTqA1Jb2q.png)

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**NOTE**
Model and Model card from: https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
This repo is mainly to share quantized gguf to use with clients like LMStudio, contains q4 and q8 quantization along with f16.

How to quantize?
https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#prepare-data--run
---

# OpenHermes-2.5-neural-chat-v3-3-Slerp
Slerp merge of [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) and [neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3)
This is a quantized gguf version.

# Open LLM Leaderboard Evaluation Results
Base Model's Eval (better than [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) btw) - https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp#open-llm-leaderboard-evaluation-results

So, a bit worse but not too different.


{"license": "apache-2.0", "pipeline_tag": "text-generation"}
gguf text-generation license:apache-2.0 region:us