grpo
CommunityRobust RLHF with group-relative policy training.
Authoratrawog
Version1.0.0
Installs0
System Documentation
What problem does it solve?
GRPO enables scalable RLHF refinement by using group-relative rewards to compare multiple completions per prompt and steer policy updates toward higher-reward responses, all while maintaining stability during training.
Core Features & Use Cases
- RLHF-aligned policy optimization using GRPOConfig and GRPOTrainer
- Thinking-aware reward signals and token-based evaluation patterns
- Research-oriented workflow for reward design, alignment, and stable RLHF pipelines
Quick Start
Provide a minimal GRPO training run using your model and a small prompt dataset to begin thinking-aware refinement.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: grpo Download link: https://github.com/atrawog/overthink-plugins/archive/main.zip#grpo Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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