GRPO Reinforcement Learning: Boost LLM Reasoning Accuracy 23.5% with Single-GPU Training

Mastering GRPO Reinforcement Learning: Train Your LLM to Reason Like DeepSeek Using Unsloth Executive Summary: Key Findings Reasoning breakthrough: GRPO increased math reasoning accuracy by 23.5% on GSM8K benchmark Hardware democratization: Unsloth+TRL enables single-GPU training of 14B models, reducing costs by 87% vs traditional PPO Critical insights: 1B models hit reasoning ceilings (PSLE accuracy <20%) Reward function synergy: format + partial correctness > single accuracy reward (+41% convergence speed) Training risks: Incorrect KL penalties trigger reward collapse (observed 17.3% performance degradation) Industry shift: Federated learning solves data silos (Flower AI trials underway) The Reasoning Revolution: Why GRPO Changes Everything The …