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  # AscendKernelGen/KernelGen-LM-4B
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  ![License](https://img.shields.io/badge/License-Apache-yellow)
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- [![arXiv](https://img.shields.io/badge/arXiv-2601.07160-b31b1b.svg)](https://arxiv.org/abs/2601.07160)
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  KernelGen-LM-4B is a state-of-the-art domain-adaptive large language model specialized for low-level NPU kernel generation, specifically for the Huawei Ascend architecture using the AscendC programming language. Built upon the Qwen3-4B backbone, it is trained on the Ascend-CoT dataset and refined via reinforcement learning with execution feedback.
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- **Other artifacts:**
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  * The **AscendKernelGen Technical Report** is published at https://arxiv.org/abs/2601.07160.
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- * The **NPUKernelBench** evaluation framework is published at https://git.openi.org.cn/PCL-Benchmark/NPUKernelBench.
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  ## Introduction
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  # AscendKernelGen/KernelGen-LM-4B
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  ![License](https://img.shields.io/badge/License-Apache-yellow)
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+ <!-- [![arXiv](https://img.shields.io/badge/arXiv-2601.07160-b31b1b.svg)](https://arxiv.org/abs/2601.07160) -->
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  KernelGen-LM-4B is a state-of-the-art domain-adaptive large language model specialized for low-level NPU kernel generation, specifically for the Huawei Ascend architecture using the AscendC programming language. Built upon the Qwen3-4B backbone, it is trained on the Ascend-CoT dataset and refined via reinforcement learning with execution feedback.
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+ <!-- **Other artifacts:**
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  * The **AscendKernelGen Technical Report** is published at https://arxiv.org/abs/2601.07160.
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+ * The **NPUKernelBench** evaluation framework is published at https://git.openi.org.cn/PCL-Benchmark/NPUKernelBench. -->
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  ## Introduction
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