uv-verl-rl-training

What problem does it solve?

This Skill provides a robust and scalable framework for training Large Language Models (LLMs) using Reinforcement Learning (RL), addressing the complexities of distributed training and various RL algorithms.

Core Features & Use Cases

• Reinforcement Learning: Supports advanced RL algorithms like GRPO, PPO, and others for LLM post-training.
• Scalable Infrastructure: Designed for large-scale training with flexible backend support (FSDP, Megatron-LM, vLLM).
• Use Case: Train a chatbot to follow complex instructions more accurately by using GRPO on a dataset of user prompts and desired responses, leveraging a distributed GPU cluster.

Quick Start

Launch GRPO training for math reasoning using the verl skill.