Lewis from the Hugging Face post-training team has published a comprehensive guide on training open models using different coding harnesses. The article details how the team solved this challenge by leveraging open source libraries such as TRL and the Harbor framework for reinforcement learning environments.
The guide provides a recipe for maximizing performance on custom harness setups, allowing users to apply these methods with any open model they use daily.
This resource aims to help developers optimize their reinforcement learning workflows using available open-source tools.