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Train transformer language models with reinforcement learning.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

veRL is a flexible and efficient RL framework for LLMs.

Open-source framework for fine-tuning and evaluating LLMs. It simplifies the process of experimenting with different training configurations and makes it easy to reproduce and share results, supporting features like LoRA, QLoRA, DeepSpeed, PEFT, and multi-GPU setups.