direct-preference-optimization
This repository offers a robust implementation of Direct Preference Optimization, including conservative DPO and IPO, to improve language model efficiency. Compatible with HuggingFace models, it facilitates easy dataset integration and supports diverse GPU setups, enhancing supervised fine-tuning and preference learning for scalable training solutions.
