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
- [KV Offload] Add TieringAdmissionPolicy skeleton (factory/base/always)
- [Frontend] [Parser] Migrate llama3_json/llama4_json to the streaming parser engine
- [ROCm] [Bugfix] Preserve CPU query offsets during capture
- [Perf] Add adaptive sync-less DeepEP v2 prefill dispatch
- [Memory] Measure complete CUDA graph capture footprint for KV budgeting
- docs: clarify Metal quickstart model choice
- [KVConnector] Count async loads per request in MultiConnector
- [LoRA] Fix lm_head delta silently dropped from prompt_logprobs (#51594)
- [XPU] remove VLLM_XPU_ENABLE_XPU_GRAPH
- [MoE] Size batched Triton MoE tiles from per-expert rows
- Docs
- Python not yet supported