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
📘Tutorial | 🛠️Installation | 🎨Framework
Die Hauptfunktionen von simple-efficient/rl-factory sind: Fine-Tuning Frameworks, Reinforcement Learning Frameworks.
Open-Source-Alternativen zu simple-efficient/rl-factory sind unter anderem: volcengine/verl — verl is a distributed training system designed for large language model alignment and reinforcement learning. It… evolvinglmms-lab/lmms-engine. alisawuffles/proxy-tuning. alibaba/chatlearn — A flexible and efficient training framework for large-scale alignment tasks. blaizzy/mlx-vlm. bytedance-seed/veomni.
