verl: Volcano Engine Reinforcement Learning for LLMs verl is a flexible, efficient and production-ready RL training library for large language models (LLMs) verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper verl is flexible and easy to use with:
Welcome to verl’s documentation! — verl documentation verl is a flexible, efficient and production-ready RL training framework designed for large language models (LLMs) post-training It is an open source implementation of the HybridFlow paper verl is flexible and easy to use with:
verl·PyPI verl: Volcano Engine Reinforcement Learning for LLMs verl is a flexible, efficient and production-ready RL training library for large language models (LLMs) verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper
Welcome to veRL HybridFlow’s documentation! veRL (HybridFlow) is a flexible, efficient and industrial-level RL(HF) training framework designed for large language models (LLMs) Post-Training veRL is flexible and easy to use with:
Installation — verl documentation Install verl For installing the latest version of verl, the best way is to clone and install it from source Then you can modify our code to customize your own post-training jobs
volcengine verl | DeepWiki This document provides a comprehensive overview of the verl (Volcano Engine Reinforcement Learning) repository, its architecture, and core design principles verl is a flexible, efficient, and product
What Is verl: Volcano Engine Reinforcement Learning for LLMs? Q1: What exactly is verl? A: Verl is an open-source reinforcement learning training library tailored for large language models, offering support for algorithms like PPO, GRPO, and ReMax It’s designed to integrate seamlessly with popular LLM frameworks