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Yu Meng
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<img src="./SimPO.png" width="1000px"></img>
## 🆕 Changelog
- [2024.07.08] We updated our paper ([v2](https://arxiv.org/abs/2405.14734v2))
- Additional baselines (RRHF, SLiC-HF, CPO)
- New Llama3-Instruct setting (v0.2) with [ArmoRM](https://huggingface.co/RLHFlow/ArmoRM-Llama3-8B-v0.1) as the preference label annotator, yielding better-performing models!
- [SimPO trainer](https://github.com/princeton-nlp/SimPO/blob/main/scripts/simpo_trainer.py) update for better reproducibility
## 🔗 Quick Links
- [SimPO: Simple Preference Optimization with a Reference-Free Reward](#simple-preference-optimization-simpo)
- [Changelog](#-changelog)
- [Tips for Running SimPO](#tips-for-running-simpo)
- [Released Models](#released-models)
- [Install Requirements](#install-requirements)