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 supported36 Subscribers
View all SubscribersAdd a CodeTriage badge to vllm
Help out
- Issues
- [ModelRunner v2] Enable by default for all non-pooling models
- [KERNEL][ROCm]Native HIP MXFP4(Compressed+Quark) (dense + MoE) for RDNA3
- fix(security): Cap repetition_detection window to bound scheduler CPU…
- [CI] Add registry layer cache to x86 CUDA release image builds
- [ROCm][DSV4] B-preshuffle the attention fp8 projections
- [Feat] Support thinking_token_budget in Model Runner V2
- fix(quant): resolve unquantized embedding method and key mismatch in inc path for MiniMax-M3
- [Bug]: Multimodal image inputs fail on /v1/responses while identical inputs work on /v1/chat/completions
- Fix gpt-oss-20b NVFP4 (ModelOpt) inference
- Fix: Calculate ITL using exact token delta from usage stats (#27485)
- Docs
- Python not yet supported