TRL

TRL is a comprehensive open-source library that enables post-training of transformer language models using reinforcement learning techniques such as Supervised Fine-Tuning (SFT), Proximal Policy Optimization (PPO), and Direct Preference Optimization (DPO). It integrates with Hugging Face’s Transformers ecosystem and supports efficient scaling with tools like Accelerate and PEFT.