vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [WIP][Model Runner V2][Spec Decode] Enable rejection sampling with draft logits by default, capped to draft_logits_buffer_gb
- [Perf] Raise Blackwell CUDA graph capture default to 1024
- [Rust Frontend] Add #[must_use] to consuming builder methods in Rust frontend
- [Docs]: Post-#30201 SharedStorage→ExampleConnector rename still lacks migration docs and stale public examples
- [CI] Add opt-in Hugging Face Hub monitoring
- [Feature]: enhance pcp with vllm
- [Spec Decode] Add PARD-2 parallel draft model support
- [Model] Add longcat_next MLA/dual-attention recognition
- [Bugfix] Do not discard model output when tool_choice defaults to "none" with no tools declared
- [CPU] [Feat] Add native AMX-FP8 attention impl for Diamond Rapids
- Docs
- Python not yet supported