vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported13 Subscribers
Add a CodeTriage badge to vllm
Help out
- Issues
- [CPU] Fix uninitialized accumulators in attention kernels
- [compile] custom op unit test
- [RFC]: [gpt-oss] Supporting Any MCP Server Tools
- [Bug]: Model fails to deploy: Illegal CUDA memory access with FP8 Qwen3-235b model in vLLM v0.11.0
- [Bugfix] : prevent automatic URL path decoding for async client #26636
- [Feature]: Support Prefix Caching for Hidden States (Pooling Endpoint)
- [Bug]: The system generates an error when using dual graphics cards; version 10.1.1 functions correctly, but version 10.2/11.0 triggers an error upon execution.
- [Feature]: Batch-invariant Inference Support for VLMs
- [Misc] Remove unused virtual engine flag
- [Bug]: some models won't stream from s3: Qwen/Qwen3-VL-30B-A3B-Instruct-FP8
- Docs
- Python not yet supported