Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
VeRL is a flexible and efficient reinforcement learning training library for large language models, initiated by ByteDance Seed team and maintained by the community. It supports diverse RL algorithms like GRPO and PPO, integrates with existing LLM frameworks such as FSDP and vLLM, and achieves state-of-the-art throughput through efficient actor model resharding.
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