V

vLLM

V
vLLM AI v0.26.1rc0

v0.26.1rc0

[CI][ROCm] Fix test_ocp_mx_wikitext_correctness reference value (#4…

V
vLLM AI v0.26.0

v0.26.0

vLLM v0.26.0 Release Notes Highlights This release features 411 commits from 212 contributors (61 new)! New Inkling model family with a full support stack: base modeling (#48799), piecewise CUDA graph support (#48822), Hopper FA4 relative attention (#48858), MTP=1 speculative decoding (#48869), LoRA (#48884), and standard ModelOpt NVFP4 quantization (#48990). DeepSeek-V4 performance push across ve…

V
vLLM AI v0.25.1

v0.25.1

vLLM v0.25.1 Highlights This release features 2 commits from 2 contributors (1 new)! v0.25.1 is a patch release containing two targeted bug fixes on top of v0.25.0. Bug Fixes Avoid blocking model launching when no system FFmpeg is available for TorchCodec (#47888). Previously import torchcodec raised a RuntimeError at import time when system FFmpeg was missing, which blocked startup (e.g. vllm ser…

V
vLLM AI v0.25.0

v0.25.0

vLLM v0.25.0 Release Notes Highlights This release features 558 commits from 232 contributors (64 new)! Model Runner V2 is now the default for all dense models (#44443). Building on quantized-model support from the previous release, MRv2 is now the standard execution path, with new support for EVS (#46535), realtime embeddings (#46762), prefix caching for Mamba hybrid models (#42406), multimodal-p…

V
vLLM AI v0.25.0rc3

v0.25.0rc3

[P/D][Bugfix] Fix PD async KV load lookahead handling for MTP spec de…

V
vLLM AI v0.25.0rc2

v0.25.0rc2

Fix embed scaling + CUDA graphs in Transformers modelling backend (#4…

V
vLLM AI v0.25.0rc1

v0.25.0rc1

[CPU][Bugfix] Fix flaky ShortConv prefill test on ARM (uninitialized …

V
vLLM AI v0.24.0

v0.24.0

vLLM v0.24.0 Release Notes Highlights This release features 571 commits from 256 contributors (77 new)! MiniMax-M3: Added support for the new MiniMax-M3 model (#45381), with a fast follow-on of BF16/FP8 indexer via MSA (#45892), MXFP4 support (#45896), FP8 sparse GQA (#45744), and extensive AMD/ROCm tuning — mxfp8 MoE/linear on gfx950 (#45725), fp8_per_channel for bf16 weights on MI300X (#45854),…

V
vLLM AI v0.23.0

v0.23.0

vLLM v0.23.0 Release Notes Please note that Minimax M3 is not yet supported in this version. Please follow vLLM recipe for usage guides for M3. Highlights This release features 408 commits from 200 contributors (63 new)! DeepSeek-V4 matures across backends: Following its introduction in v0.22.0, DeepSeek-V4 received another large hardening and optimization pass. Its sparse MLA metadata is now deco…

V
vLLM AI v0.22.1

v0.22.1

Highlights This release features 8 commits from 6 contributors (1 new)! v0.22.1 is a patch release on top of v0.22.0 with targeted bug fixes plus a couple of additions: new model support for JetBrains' Mellum v2, zentorch-accelerated quantized linear inference on AMD Zen CPUs, and fixes for multi-node Ray data-parallel serving, DeepSeek-V4 initialization, and a few model-loading regressions. Model…