vLLM passes 4,000 GitHub contributors, per project announcement
Overview
The vLLM project announces on X that it has passed 4,000 contributors on GitHub.
The project says it began as a research project at UC Berkeley and describes itself as an open-source LLM inference engine for model serving. The count comes from the project's own post; no independent source is cited.
Written by AI from the articles below · updated Nov 11, 1:48 AM ET
Check the sources:
Article timeline
The articles in this story. Times are ET.
vLLM@vllm_projectOfficialvLLM passes 4,000 contributors on GitHubAIvLLM says it has crossed 4,000 contributors on GitHub, growing from a UC Berkeley research project into an open-source LLM inference engine built by a community. The post credits every kernel, model, and bug fix to those contributors.

vLLM@vllm_projectOfficialvLLM passes 4,000 contributors on GitHubAIvLLM says it has crossed 4,000 contributors on GitHub, growing from a UC Berkeley research project into a community that builds its open-source LLM inference engine. The project says it aims to make LLM serving easy, fast, and cheap for everyone.

vLLM@vllm_projectOfficialvLLM crosses 4,000 contributors on GitHubAIThe vLLM project says it has passed 4,000 contributors on GitHub, up from its start as a research project at UC Berkeley. The project describes itself as an open-source LLM inference engine for easy, fast, and cheap model serving.

Heat Trend
- Current comparable heat
- 9
- Peak comparable heat
- 10Nov 11, 2:00 AM ET
- Change in past 24 hours
- –
The trend compares only continuously observed participants, so its scope may be smaller than the current heat total. Hover or tap for hourly heat; use arrow keys with a keyboard.