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README.md

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 # Introduction
-Zhipu officially released its next-generation open-source flagship model **GLM-5.2**, the latest flagship targeting **Long Horizon Tasks**. Compared to its predecessor GLM-5.1, it achieves a significant leap in long-horizon task capabilities and is open-sourced under the **MIT License**. The **FlagOS Zhongzhi Community** completed multi-chip adaptation and inference deployment at the first opportunity, currently covering five chips:
-**NVIDIA H20, Moore Threads S5000, T-Head 810E, Metax C550 and Hygon DCU BW1000**.
+Zhipu officially released its next-generation open-source flagship model **GLM-5.2**, the latest flagship targeting **Long Horizon Tasks**. Compared to its predecessor GLM-5.1, it achieves a significant leap in long-horizon task capabilities and is open-sourced under the **MIT License**. The **FlagOS Zhongzhi Community** completed multi-chip adaptation and inference deployment at the first opportunity, currently covering four chips:
+**Moore Threads S5000, T-Head 810E, Metax C550 and Hygon DCU BW1000**.
 
 Developers can rapidly deploy via the FlagOS unified, open-source software stack; model files and deployment guides are simultaneously available on **ModelScope** and **HuggingFace**. GLM-5.2 is a model featuring a stable and usable **1M context window**, purpose-built for Long Horizon Tasks. Its core capabilities include:
 
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 ## Benchmark Result
 | Metrics      | GLM-5.2-Nvidia-Origin | GLM-5.2-Mthreads-FlagOS |
 |--------------|--------------------------------|-------------------------|
-| GPQA_Diamond | 89.56                             | 92.28                   |
-| musr_generative        | 70.77                              | 63.88                   |
-# User Guide
+| GPQA_Diamond | 85.85                 | Evaluating              |
+| musr_generative        | 69.2                  | 67.2                    |
 Environment Setup
 
 | Item             | Version              |