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
- [Mooncake] Revalidate exact partial-hash hit boundaries
- [Mooncake] Guards on the partial-hash hit retry
- [Bugfix] Preserve SWA replay windows after EAGLE tail pop
- [Bugfix] Add opt-out for synchronized FlashInfer autotune (multi-node deadlock without GPUDirect RDMA)
- [bot] Enable google/gemma-4-E2B-it-assistant inference on Intel XPU
- [Bugfix][KV Offload] Coordinate mmap host registration
- [Attention] Move GDN common metadata compute out of per-group build
- [Frontend] shutdown engine core and its sub processes asap when initializing
- [bot] Fix Gemma4 BOS token handling for raw-text prompts on XPU
- [Bug]: A multimodal item can still be split across prefill chunks with disable_chunked_mm_input=True
- Docs
- Python not yet supported