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verl

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<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: verl
description: vERL efficient reinforcement learning for LLMs. Use when training models with RL methods optimized for large-scale GPU clusters.
tags: [verl, post-training, rl]
---

# verl: Volcano Engine Reinforcement Learning for LLMs

verl is a flexible, efficient, and production-ready RL training library for large language models from ByteDance's Seed team. It implements the HybridFlow framework (EuroSys 2025) and powers models like Doubao-1.5-pro achieving O1-level performance on math benchmarks.

## When to Use verl

**Choose verl when you need:**
- Production-ready RL training at scale (tested up to 671B parameters)
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