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verl is a distributed training system designed for large language model alignment and reinforcement learning. It provides a framework for executing post-training pipelines, including supervised fine-tuning and reinforcement learning from human feedback, to refine model behavior and agentic capabilities. The system utilizes a hybrid training and inference engine that optimizes memory and communication when switching between model generation and gradient updates. It supports multi-modal reinforcement learning for models processing both image and text data, and implements algorithms such as PPO
A flexible and efficient training framework for large-scale alignment tasks
The main features of alibaba/chatlearn are: Fine-Tuning Frameworks, Reinforcement Learning.
Open-source alternatives to alibaba/chatlearn include: volcengine/verl — verl is a distributed training system designed for large language model alignment and reinforcement learning. It… facebookresearch/lingua — Lingua is a research framework for developing, training, and experimenting with large language model architectures and… alisawuffles/proxy-tuning. blaizzy/mlx-vlm. evolvinglmms-lab/lmms-engine. bytedance-seed/veomni.
