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
- fix(logging): don't color DEBUG white (unreadable on light terminals)
- Doc: add DiffusionGemma to supported models
- [ROCm] cap mem_get_info total to local VRAM to fix 192 GiB over-allocation (#36890)
- [rust][tool-parser] Add streaming invariant tests
- [rust][server] Add generative scoring route
- [LocateAnything-3B][XPU] Add locateanything model on support on XPU
- [Draft] Add opt-in L20 paged decode path for FlashInfer
- [CPU] Add hierarchical all-reduce with RDMA for multi-node tensor parallelism
- [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
- Docs
- Python not yet supported