uv-slime-rl-training
CommunityRL training for LLMs with Megatron+SGLang.
Authoruv-xiao
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the complex process of post-training Large Language Models (LLMs) using Reinforcement Learning (RL), specifically integrating Megatron-LM for efficient training and SGLang for high-throughput inference.
Core Features & Use Cases
- RL Training: Implements advanced RL algorithms like GRPO for fine-tuning LLMs.
- Megatron-LM Integration: Leverages Megatron-LM for distributed training, supporting various parallelism strategies.
- SGLang Rollout: Utilizes SGLang for fast and scalable response generation during the RL loop.
- Custom Data Workflows: Supports flexible data buffering and custom generation logic for multi-turn or tool-using agents.
- Use Case: You are training a new generation of GLM models and need a robust framework that can handle large-scale RL fine-tuning, integrating with existing Megatron-LM infrastructure and requiring high-throughput response generation for reward calculation.
Quick Start
Use the uv-slime-rl-training skill to launch GRPO training for a Qwen3-4B model using a specified data file.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: uv-slime-rl-training Download link: https://github.com/uv-xiao/pkbllm/archive/main.zip#uv-slime-rl-training Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.