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README.md

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 This is a custom-architected model based on `Qwen2.5-Coder-1.5B`. We introduced a novel **Asymmetric Hybrid Architecture (GQA + MLA)** with **Cross-Layer Shared Latent Gates** and **Attention Sinks**, enabling efficient feature communication and reduced KV-Cache memory footprint.
 
 ## 🏗️ Architecture Innovations
-*(这里插入你用 picture.py 生成的架构图，可以把图片拖进 Hugging Face 网页版的编辑框里自动生成链接)*
-![Hybrid Architecture](填入你的图片链接)
+![Uploading qwen2_hybrid_arch.png…]()
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 Unlike standard Qwen2 models, this `Hybrid-v9` backbone features:
 1. **Asymmetric Layers:**