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
- [KVConnector] Add UcclP2pConnector for disaggregated prefill over UCCL P2P
- [LocateAnything-3B][XPU] Add locateanything model on support on XPU
- Mistral Large 3 EPLB Support
- [Draft] Add opt-in L20 paged decode path for FlashInfer
- [CPU] Add hierarchical all-reduce with RDMA for multi-node tensor parallelism
- [Docs] Add Phi-3.5-mini-instruct to batch invariance tested models
- [KV Offload] Pass `ScheduleEndContext` to `on_schedule_end` hook
- [Bug]: different behavior between 0.22/0.23 about --tool-call-parser qwen3_coder
- [RFC]: Adaptive Speculation Depth for MoE Models via Per-Iteration Utility Budgeting
- [Bugfix][Frontend] Keep length finish_reason for max_tokens-truncated streaming tool calls
- Docs
- Python not yet supported