nanoGRPO: train your own tiny R1-style reasoner on an 8GB RTX 4060

joey00072fp8 · x · 2026-11-05

Developer joey00072 released nanoGRPO, a lightweight implementation of Group Relative Policy Optimization (GRPO) for language models, small enough to train on an 8GB RTX 4060. The repo (144 stars) contains just a handful of files, and after 120 training steps the model produces <thinking> chain-of-thought solutions — letting anyone "cook their own tiny R1/o1." A accessible entry point for hands-on RL post-training.

Original post →

More from Research

Research channel →