Training Gemma-3 for Structured Mathematical Reasoning with Tunix GRPO, LoRA Adapters, and GSM8K Rewards

Short summary

Demonstrates end-to-end GRPO fine-tuning workflow for Gemma-3 on mathematical reasoning using LoRA adapters and GSM8K reward functions. Covers environment setup, baseline evaluation, policy improvement through group sampling, and model export. Practical guide for practitioners building AI systems with structured reasoning capabilities.

• •GRPO training pipeline for Gemma-3 to solve GSM8K math problems with structured outputs
• •Uses lightweight LoRA adapters to reduce training cost while preserving model weights
• •End-to-end workflow: environment setup → baseline evaluation → GRPO training → optional model export

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