From 222eeffed5032e6d7b1167d4a6b4dc530f4dde4b Mon Sep 17 00:00:00 2001 From: wehub-resource-sync Date: Mon, 13 Jul 2026 10:35:23 +0000 Subject: [PATCH] docs: make Chinese README the default --- README.md | 34 ++++++++++++++++++++-------------- 1 file changed, 20 insertions(+), 14 deletions(-) diff --git a/README.md b/README.md index d5ba283..5b9826b 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,9 @@ + +> [!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。 +
# 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/)
-## 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。
@@ -60,18 +66,18 @@ MLC LLM is a machine learning compiler and high-performance deployment engine fo
-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:
- References (Click to expand) + 参考文献(点击展开) ```bibtex @inproceedings{tensorir,