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vLLM 发布: v0.30.0

vLLM 发布 · 来源更新
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来源摘要

# v0.30.0 ## Highlights This release features 762 commits from 315 contributors (104 new)! * **New models**: DeepSeek-V4.1-Flash (#56214, #56228, #56208) with the whole KV stored in MXFP8 through the FlashMLA V4.1 record on SM100 (#56893), DeepGEMM Mega-mHC (#56962), and async Engram prefetch with Engram DP sharding (#56512); DeepSeek-V4-Flash-Vision-Exp (#54566), also on ROCm (#55107) and with LoRA (#55897); GLM-5.3-Flash (#53906) with EPLB (#55119); K2-Horizon (#55063); Cohere Compass (#54774); Bailing V3 VL (#55921); Nanbeige4.2 via the Transformers backend (#56071); and a DeepSeek-V4 CPU backend with AVX512/AMX sparse MLA, indexer, mHC and compressor kernels (#55355). * **Fast Start**: a persistent per-GPU weight-cache daemon holds post-quantized, TP-sharded weights in GPU memory so restarting engines map them over CUDA IPC with `--load-format ipc_cache` instead of reloading from disk (#54921), now covering FP4 checkpoints (#55465) and multi-node TP (#55468). * **Watermarking**: Gumbel-max watermarked generation and detection with a keyed PRF, per-request opt-out and an example detection endpoint (#54053); dual-key Gumbel-max makes it compatible with speculative decoding (#56122); the Rust frontend forwards the per-request controls (#56338). * **HiSparse**: a host-resident tier for sparse-MLA decode that spills KV pages to pinned host memory under GPU pressure and serves top-k misses from a per-request GPU hot buffer, enabled through `HiSparseConnector` (#53781), with Prometheus counters (#56061), a host cache shared across TP ranks (#56629), and the attention config inferred from the connector (#57041). * **Model Runner V2**: dual-batch overlap in eager mode (#50945) and with FULL CUDA graphs for microbatched steps (#51700); MTP (#46994) and EAGLE3/DFlash/DSpark (#

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vLLM 发布 · 官方来源
来源发布
2026/09/22 13:20
来源更新
2026/09/22 13:20
首次采集
2026/09/22 17:59

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