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---
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)
## 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.
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