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
- [Model] Add NemotronLabsDiffusion support with tri-mode inference
- [Feature] Add native ModelExpress weight transfer backend
- [Bugfix][V1][AsyncScheduler] Clamp delivered tokens to reserved output placeholders instead of killing EngineCore
- [Elastic EP] Fix EPLB load statistics during scaling
- [CPU] Build CPU wheels on Ubuntu 22.04 with AMX-FP8 support
- [Bugfix][Multimodal] Bound pinned host memory used for multimodal H2D copies
- [ROCm][MoRIIO] Fix WRITE prefill-block release routing under Wide-EP
- [XPU][MLA] Support FlashAttnMLA backend on XPU
- [BugFix] Memoize StreamingParserEngine drop-info construction
- [Feature/Design]: UVA weight offload on quantized MoE — pin_memory() power-of-two rounding wastes ~35% host RAM, and MXFP4 process_weights_after_loading silently un-offloads layers via replace_parameter
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