Training Small Language Models Using GRPO with Verifiable Rewards
GRPO trains compact models by comparing outputs, while verifiable rewards define the learning signal. Unsloth makes local experiments practical.
GRPO
Improving Structured Output Generation by Fine-Tuning a 350M-Parameter Model with Just 100 GRPO Steps
This tutorial shows developers how to improve schema compliance in small local language models by fine-tuning LiquidAI's LFM2.5-350M using GRPO with TRL and LoRA. Using ~500 Nemotron structured-output…
Distributed Async GRPO Training with LoRA on HF Jobs Using a Bucket and a Proxy—No NCCL Required
This post demonstrates a distributed asynchronous GRPO training setup using TRL v1.14's AsyncGRPOTrainer with LoRA on Hugging Face Jobs. The trainer and vLLM inference replicas run on entirely separat…