To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces inference latency by up to 10x for pre-filling on an A100 while maintaining accuracy.
Cross-referenced across 55 tracked directories
#2808
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
5/22/2024
Created
1,198
GitHub Stars
76
Forks
90
Open Issues
3/9/2026
Last Commit
Recently added to the ecosystem
Score: 100/100
0 dependency vulnerabilities found
A high-throughput and low-latency inference and serving framework for LLMs and VLs
SGLang is a fast serving framework for large language models and vision language models.