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@@ -16,9 +16,8 @@ pipeline_tag: text-generation
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  [![apache 2.0](https://img.shields.io/badge/License-Apache%202.0-orange?logoColor=white&logoUrl=https://pbs.twimg.com/profile_images/1816254738234761216/TX7TW-Mp_400x400.jpg)](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 v5 (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. To the best of our knowledge, this is the highest-performing 14B model to date.
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- We trained on 24k verifiable coding problems using 48 B200s over the course of four days.
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  ![test](./lcb_score_vs_step.png)
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  ![test](./performance_params_ratio.png)
 
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  [![apache 2.0](https://img.shields.io/badge/License-Apache%202.0-orange?logoColor=white&logoUrl=https://pbs.twimg.com/profile_images/1816254738234761216/TX7TW-Mp_400x400.jpg)](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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  ![test](./lcb_score_vs_step.png)
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  ![test](./performance_params_ratio.png)