How the community trained Gemma to "Think" with Tunix and TPUs

This post describes how the Kaggle community trained Gemma base models to develop explicit reasoning capabilities using Tunix and TPUs.

• •Over 11,000 participants successfully developed reasoning models with limited compute (Kaggle TPU v5e-8 for 9 hours)
• •G-RaR winner combines Supervised Fine-Tuning with GRPO using rubric-based LLM-as-judge for structured reasoning
• •Pinocchio-1B implements three-stage pipeline (SFT → SimPO → GRPO) with Gemini 2.0 Flash as asynchronous judge
• •IDEA-E distills ethical reasoning framework using curriculum-guided GRPO with efficient TF-IDF reward signals
• •Successful applications across medical, chemistry, legal, and robotics domains with domain-specific reasoning

This summary was automatically generated by AI based on the original article and may not be fully accurate.