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 supported51 Subscribers
View all SubscribersAdd a CodeTriage badge to vllm
Help out
- Issues
- [ROCm][Perf] Fold scalar KV scales in MiniMax-M3 sparse attention
- [Bugfix][Spec Decode] Apply suppress_tokens on the Gemma 4 MTP sparse path
- [Bugfix] Handle empty YAML config in `--config` parsing
- [ROCm][Perf] Kimi-K3 AMD MLA: fuse the q-a and kv-a RMSNorms
- [Bug]: Continuous Host Memory Growth / Possible Memory Leak with V2 Runner on Qwen3-14B and Qwen3-Rerank-4B
- Fix: Deprecated pylance warnings on using AsyncIterator with asynccontextmanager
- RFC: Kimi K3 MoonEP integration roadmap
- [Core][Spec Decode] Add suffix_gpu drafter for Async Scheduling
- [KV Offload] Carry request provenance through stored events
- [Bug]: sparse_mla_attention forward_mha falls through to unimplemented base class under low max-num-batched-tokens, surfaces as scheduler KeyError
- Docs
- Python not yet supported