docs: make Chinese README the default

README.md

@@ -1,3 +1,9 @@
+<!-- WEHUB_ZH_README -->
+> [!NOTE]
+> 本文档由 WeHub 基于上游 README 翻译整理，属于社区翻译，非官方中文文档。  
+> [English](./README.en.md) · [原始项目](https://github.com/mlc-ai/mlc-llm) · [上游 README](https://github.com/mlc-ai/mlc-llm/blob/HEAD/README.md)  
+> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。
+
 <div align="center">
 
 # MLC LLM
@@ -7,15 +13,15 @@
 [![Join Discoard](https://img.shields.io/badge/Join-Discord-7289DA?logo=discord&logoColor=white)](https://discord.gg/9Xpy2HGBuD)
 [![Related Repository: WebLLM](https://img.shields.io/badge/Related_Repo-WebLLM-fafbfc?logo=github)](https://github.com/mlc-ai/web-llm/)
 
-**Universal LLM Deployment Engine with ML Compilation**
+**基于 ML 编译的通用 LLM 部署引擎**
 
-[Get Started](https://llm.mlc.ai/docs/get_started/quick_start) | [Documentation](https://llm.mlc.ai/docs) | [Blog](https://blog.mlc.ai/)
+[入门](https://llm.mlc.ai/docs/get_started/quick_start) | [文档](https://llm.mlc.ai/docs) | [博客](https://blog.mlc.ai/)
 
 </div>
 
-## About
+## 简介
 
-MLC LLM is a machine learning compiler and high-performance deployment engine for large language models.  The mission of this project is to enable everyone to develop, optimize, and deploy AI models natively on everyone's platforms. 
+MLC LLM 是一款面向大语言模型（LLM）的机器学习编译器与高性能部署引擎。本项目的使命是让每个人都能在自己的平台上原生开发、优化和部署 AI 模型。
 
 <div align="center">
 <table style="width:100%">
@@ -60,18 +66,18 @@ MLC LLM is a machine learning compiler and high-performance deployment engine fo
 </table>
 </div>
 
-MLC LLM compiles and runs code on MLCEngine -- a unified high-performance LLM inference engine across the above platforms. MLCEngine provides OpenAI-compatible API available through REST server, python, javascript, iOS, Android, all backed by the same engine and compiler that we keep improving with the community.
+MLC LLM 在 MLCEngine 上编译并运行代码——这是一款跨上述平台的统一高性能 LLM 推理引擎。MLCEngine 提供与 OpenAI 兼容的 API（OpenAI-compatible API），可通过 REST 服务器、Python、JavaScript、iOS、Android 使用，均由同一套引擎与编译器支撑，我们正与社区持续改进。
 
-## Get Started
+## 入门
 
-Please visit our [documentation](https://llm.mlc.ai/docs/) to get started with MLC LLM.
-- [Installation](https://llm.mlc.ai/docs/install/mlc_llm)
-- [Quick start](https://llm.mlc.ai/docs/get_started/quick_start)
-- [Introduction](https://llm.mlc.ai/docs/get_started/introduction)
+请访问我们的[文档](https://llm.mlc.ai/docs/)以开始使用 MLC LLM。
+- [安装](https://llm.mlc.ai/docs/install/mlc_llm)
+- [快速入门](https://llm.mlc.ai/docs/get_started/quick_start)
+- [简介](https://llm.mlc.ai/docs/get_started/introduction)
 
-## Citation
+## 引用
 
-Please consider citing our project if you find it useful:
+如果您觉得本项目有用，请考虑引用我们的工作：
 
 ```bibtex
 @software{mlc-llm,
@@ -82,10 +88,10 @@ Please consider citing our project if you find it useful:
 }
 ```
 
-The underlying techniques of MLC LLM include:
+MLC LLM 的底层技术包括：
 
 <details>
-  <summary>References (Click to expand)</summary>
+  <summary>参考文献（点击展开）</summary>
 
   ```bibtex
   @inproceedings{tensorir,