LightLLM provides a fast, scalable, and lightweight framework for deploying and serving large language models.
It's a Python framework for high-performance LLM inference and serving, built for speed and scalability with optimizations like FlashAttention. LightLLM integrates concepts from projects such as FasterTransformer and vLLM. You can check its [English Docs](https://lightllm-en.readthedocs.io/en/latest/) for installation, and explore its features through its [blog posts](https://modeltc.github.io/lightllm-blog/).
LightLLM provides a fast, scalable, and lightweight framework for deploying and serving large language models.
Developers and MLOps engineers focused on efficiently serving large language models at scale will find LightLLM valuable.