license, datasets, base_model, pipeline_tag
| license | datasets | base_model | pipeline_tag | |||||
|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
|
|
text-generation |
NousCoder-14B
We introduce NousCoder-14B, a competitive 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% of Qwen3-14B. We trained on 24k verifiable coding problems using 48 B200s over the course of four days.
Acknowledgements
I would like to thank my mentor, Roger Jin, Dakota Mahan, Teknium, and others at the Nous Research team for their invaluable support throughout this project. I would also like to thank Together AI and Agentica for their immensely helpful blog posts on DeepCoder-14B. Finally, thank you to Modal and Lambda for their generous support by providing me with credits.