One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO

This post details the successful fine-tuning of Nemotron foundation models for specialized domains (IOI and IMO) using SFT and RL, achieving gold-medal level results. It introduces a reusable specialization recipe involving strong base models, curated domain-specific data and traces, standard post-training methods, and inference loops for generation, evaluation, and refinement. Specifics include the performance gains of Nemotron-3-Nano-CC and Nemotron-3-Ultra-CC on IOI tasks, and the complementary strengths of SFT and RL checkpoints for IMO. The post also highlights the co-design of models, data, and inference workflows, and makes the specialized models, datasets, and recipes available on Hugging Face.