One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO
What changed
Our recent results show that Nemotron is a strong, adaptable foundation for building world-class specialist models. Starting from Nemotron 3, our teams used supervised fine-tuning (SFT), reinforcement learning (RL), and feedback-driven inference to create systems that reached gold-medal level at both IMO 2026 and IOI 2026. The IOI result came from a live, prospective run under the same time, internet-access, and submission constraints as human contestants.
Why it matters
A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.
How it compares
Related prior coverage to compare against:
- Fine-tuning now available for GPT-4o
- Fine-Tuning Gemma Models in Hugging Face
- Introducing the Ettin Reranker Family
Sources
- One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO (huggingface-blog)primary