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
- [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
- [Bugfix][Ray] Strip brackets from IPv6 node IP for MessageQueue connect_ip
- [Bug]: NVFP4 MoE monolithic backend (trtllm_fp4_block_scale_moe) produces semantically corrupt output for non-gated ReLU² MoE (Nemotron-3-Nano) on SM100; flashinfer_cutlass is correct on the same GPU
- [Bug]: MRv2: --enable-prefix-caching (mamba_cache_mode 'all') + dspark spec decode crashes at startup — prev_last_scheduled_idx never passed by MambaHybridAttnMetadata
- [Perf][DSV4] Prefer Humming over Marlin for MXFP4 MoE on SM90 (+19.9% throughput)
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- Python not yet supported