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
- [Bugfix][Core] Cache final multimodal boundaries for Mamba siblings
- [MM][CG] Support ViT full CUDA graph for Ling-3.0-flash-VL
- [Perf][MRV2] Skip redundant encoder-only attention prelude
- [Core] Avoid repeated encoder-cache scans when freeing requests
- [Bug][KV Offload][P2P] Peer-down on one rank does not fail loads or block new loads to sibling ranks of the same source
- [Bugfix][Spec Decode] Synchronize adaptive DSpark decisions across TP ranks
- [ROCm][Perf] Add AITER paged MXFP4 indexing for DeepSeek V4 (gfx950)
- [Bug] DeepSeek-V4.1 on sm_120 (RTX PRO 2000 Blackwell): no FlashInfer SM120 sparse-MLA kernel for (num_heads=64, topk=1152); FlashMLA sparse is SM90a/SM100f only
- [Performance] Elide slow detokenizer delta suffix copy
- [Bugfix] Apply the mHC input RMSNorm in forward_native
- Docs
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