📄 中文摘要
在大型语言模型的运行中，常常需要处理大量的依赖项、CUDA驱动程序和PyTorch安装，然而，Qwen3.5项目提供了一种纯C语言的实现，去除了所有抽象层，展现了现代语言模型的底层工作原理。该项目是阿里巴巴Qwen3.5模型的完整推理引擎，代码量约为1800行，简单明了，旨在通过直观的方式帮助开发者理解变换器的工作机制。
纯C语言中的Qwen3.5
发布: 2026年3月27日
📄 English Summary
Qwen3.5 in Pure C
In the context of running large language models, dealing with numerous dependencies, CUDA drivers, and PyTorch installations can be cumbersome. The Qwen3.5 project offers a pure C implementation that removes all abstraction layers, revealing the underlying workings of modern language models. This project serves as a complete inference engine for Alibaba's Qwen3.5 models, consisting of approximately 1800 lines of straightforward C code, aimed at helping developers understand the mechanics of transformers in an intuitive manner.