README.md

---

library_name: transformers
base_model:
- nbeerbower/mistral-nemo-gutenberg-12B-v3
datasets:
- flammenai/casual-conversation-DPO
license: apache-2.0

---

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)

# QuantFactory/mistral-nemo-cc-12B-GGUF
This is quantized version of [nbeerbower/mistral-nemo-cc-12B](https://huggingface.co/nbeerbower/mistral-nemo-cc-12B) created using llama.cpp

# Original Model Card


# mistral-nemo-cc-12B

[nbeerbower/mistral-nemo-gutenberg-12B-v3](https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v3) finetuned on [flammenai/casual-conversation-DPO](https://huggingface.co/datasets/flammenai/casual-conversation-DPO).

This is an experimental finetune that formats the conversation data sequentially with ChatML.

### Method

Finetuned using an A100 on Google Colab for 3 epochs.

[Fine-tune Llama 3 with ORPO](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html)