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 supported31 Subscribers
View all SubscribersAdd a CodeTriage badge to vllm
Help out
- Issues
- BUG: ValueError too many values to unpack in internlm2_tool_parser when output contains multiple tool-call markers
- Perf/mistral tokenizer vocab
- fix(__init__): validate colon separator in logits processor FQCN strings
- [Model] Add LocateAnything support
- [Bugfix] Restore device placement for repl_token_ids in Qwen3-VL EVS video embeddings
- [RL Infra][FlashInfer] Enable router replay output from FlashInfer monolithic MoE kernel
- [KV Offload] Async CPU memory pinning for SimpleCPUOffloadConnector
- fix(internlm2_tool_parser): prevent ValueError when output has multiple tool-call markers
- [Bugfix] NIXL PD: Don't transfer spec-decode lookahead blocks
- fix(logits_processor): raise user-friendly ValueError when FQCN lacks ':' separator
- Docs
- Python not yet supported