# Nous Research — NousCoder-14B: A Competitive Olympiad Programming Model

- Company: Nous Research (nousresearch.com)
- Announced: 2026-01-06T18:48:49+00:00
- Category: not stated
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://nousresearch.com/nouscoder-14b-a-competitive-olympiad-programming-model
- Record: https://forck.live/items/24026-nouscoder-14b-a-competitive-olympiad-programming-model
- Subject: Hermes models

Model: https://huggingface.co/NousResearch/NousCoder-14B Code: https://github.com/NousResearch/atropos/pull/296 WandB: https://api.wandb.ai/links/jli505/ksz3e9w6 Introduction We introduce NousCoder-14B, a competitive olympiad programming model post-trained on Qwen3-14B via reinforcement learning. On LiveCodeBench v6 (08/01/2024 - 05/01/2025), we achieve a Pass@1 accuracy of 67.87%, up 7.08% from the baseline Pass@1 accuracy of 60.79% for Qwen3-14B. We trained on 24k verifiable coding problems using 48 B200s over the course of four days. Dataset Following the success of Agentica x Together AI's DeepCoder-14B [1] , we use the same dataset as them. In particular, our training dataset consists of 24K problems from TACO Verified, PrimeIntellect's SYNTHETIC-1, and LiveCodeBench problems before 07/31/2024. The test dataset we use is LiveCodeBench v6 (08/01/2024–05/01/2025) consisting of 454 problems [2] . We verified that there is no contamination between the train and test datasets. …

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Record: https://forck.live/items/24026-nouscoder-14b-a-competitive-olympiad-programming-model
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