---
base_model: mlabonne/OrpoLlama-3-8B
language:
- en
license: other
library_name: transformers
datasets:
- mlabonne/orpo-dpo-mix-40k
tags:
- 4-bit
- AWQ
- text-generation
- autotrain_compatible
- endpoints_compatible
- orpo
- llama 3
- rlhf
- sft
pipeline_tag: text-generation
inference: false
quantized_by: Suparious
---
# mlabonne/OrpoLlama-3-8B AWQ

- Model creator: [mlabonne](https://huggingface.co/mlabonne)
- Original model: [OrpoLlama-3-8B](https://huggingface.co/mlabonne/OrpoLlama-3-8B)

![](https://i.imgur.com/ZHwzQvI.png)

## Model Summary

This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on 1k samples of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k) created for [this article](https://huggingface.co/blog/mlabonne/orpo-llama-3).

It's a successful fine-tune that follows the ChatML template!

**Try the demo**: https://huggingface.co/spaces/mlabonne/OrpoLlama-3-8B

## 🔎 Application

This model uses a context window of 8k. It was trained with the ChatML template.

## 🏆 Evaluation

### Nous

OrpoLlama-4-8B outperforms Llama-3-8B-Instruct on the GPT4All and TruthfulQA datasets.