---
title: "IOI"
description: "1 posts about IOI, summarised, each linking to the original."
---

# IOI
> 1 posts about IOI, summarised, each linking to the original.

## Articles

### [One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO](https://yomu.fyi/post/one-model-family-two-gold-level-results-fine-tuning-nemotron-for-ioi-a.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Aleksander, Igor Gitman, Sean Narenthiran, Mehrzad Samadi, Somshubra Majumdar
- Published: Oct 7, 2026
- Type: Announcement

Starting from Nemotron 3, the team applied supervised fine-tuning (SFT) and reinforcement learning (RL) to create specialists for competitive programming and olympiad mathematics. At the IOI, the Nemotron-3-Ultra-CC model, trained with SFT on 22,000 curated problems and paired with GenCorrect iterative refinement, scored 535.4 of 600 points, exceeding both the gold threshold and the top human score. At the IMO, a combination of SFT and RL checkpoints scored 30 of 42 points by generating, critiquing, and refining natural-language proofs without external tools. Both projects followed a shared recipe: start with a strong base, curate domain-specific data, apply standard post-training, and tie the model to an inference loop that improves candidates. The results show that specialization and test-time compute together produce gold-level performance, and all models, data, and inference pipelines are available on Hugging Face.