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 supported50 Subscribers
View all SubscribersAdd a CodeTriage badge to vllm
Help out
- Issues
- [Model] Extend device-side mm normalization to DeepSeekV41
- [KVConnector] Add opt-in async NIXL pull receiverFeat/nixl background pull owner
- [Bugfix] [Frontend] Preserve prompt_logprobs in /v1/completions/derender
- [Bugfix][MLA] Scope DSpark non-causal capability to builder layers
- [Docs] Correct ParallelConfig world-size descriptions
- [Bug]: `/v1/responses` output items are always `status: "completed"`, even inside an incomplete response
- [CI] Shard (H200 MIG 35GB / MI300) Entrypoints Integration (LLM) into whole coverage units
- [Agents] Add API compatibility checking skill
- [Kernel] Add NVIDIA L40S FP8 tuned configs for Qwen3.8-27B-FP8
- [ROCm][Perf][GLM-5.3-Flash] "Fit kpool top-k indices to AITER" with a single Triton kernel
- Docs
- Python not yet supported