---

library_name: transformers
base_model:
- mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
datasets:
- flammenai/casual-conversation-DPO
license: llama3

---

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

# QuantFactory/llama3.1-cc-8B-GGUF
This is quantized version of [nbeerbower/llama3.1-cc-8B](https://huggingface.co/nbeerbower/llama3.1-cc-8B) created using llama.cpp

# Original Model Card


# llama3.1-cc-8B

[mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated](https://huggingface.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated) 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 the Llama 3 template.

### 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)