开源模型应用落地-qwen1.5-7b-chat与sglang实现推理加速的正确姿势（二）

一、前言

    经过开源模型应用落地-qwen1.5-7b-chat与sglang实现推理加速的正确姿势（一）的实践，相信大家已经成功地运行起一个性能良好的sglang API服务。现在，在充裕的服务器资源配置下，接下来可以继续进行一些优化工作。

二、术语

2.1.sglang

    SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system.

The core features of SGLang include:

• A Flexible Front-End Language: This allows for easy programming of LLM applications with multiple chained generation calls, advanced prompting techniques, control flow, multiple modalities, parallelism, and external interaction.
• A High-Performance Runtime