26 lines
1.4 KiB
Markdown
26 lines
1.4 KiB
Markdown
---
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license: apache-2.0
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datasets:
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- livecodebench/code_generation_lite
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- agentica-org/DeepCoder-Preview-Dataset
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- NousResearch/lcb_test
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- NousResearch/RLVR_Coding_Problems
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base_model:
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- Qwen/Qwen3-14B
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pipeline_tag: text-generation
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---
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# NousCoder-14B
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[](https://x.com/NousResearch)
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[](https://www.apache.org/licenses/LICENSE-2.0)
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We introduce *NousCoder-14B*, a competitive programming model post-trained on [Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) via reinforcement learning.
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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\%
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of Qwen3-14B. We trained on 24k verifiable coding problems using 48 B200s over the course of four days.
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# Acknowledgements
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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. |