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This PR contains the following updates:
v0.23.0→v0.25.1Release Notes
vllm-project/vllm (vllm/vllm-openai)
v0.25.1Compare Source
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
import torchcodecraised aRuntimeErrorat import time when system FFmpeg was missing, which blocked startup (e.g.vllm serve Qwen/Qwen3-VL-2B-Instruct) even when TorchCodec was not in use. The error is now deferred to runtime so it only surfaces if TorchCodec is actually needed.!!!!!tokens. A dtype-match guard now routes incompatible mixed-dtype graphs to the safe path, while same-dtype models retain the full allreduce + RMSNorm + quant fusion.Contributors
@Isotr0py, @hugo-cen
New Contributors
v0.25.0Compare Source
vLLM v0.25.0 Release Notes
Highlights
This release features 558 commits from 232 contributors (64 new)!
Model Support
tok_sparse_selectfrom MSA replacing Triton kernels (#47502).mm_token_type_idsfix (#46552), tied-embeddinglm_head.biasfix (#46835).architecturescrash fix (#46037), DeepSeek-V2 hidden-size and aux-hidden-state fixes (#46986, #46973).Engine Core
FLASH_ATTN_MLA_SPARSEHopper sparse-MLA backend (#46189), DCP + FP8 KV cache in MLA decode (#44044), XQA decode kernels (#43232).LookupResultenum (#46363).VLLM_GPU_SYNC_CHECKenv var (#44800), VRAM semaphore infrastructure (#44465), skip detokenization in online beam search (#46422), several int32-overflow fixes in sampler/attention kernels (#46560, #47383, #47671).Hardware & Performance
fused_indexer_q_rope_quantTriton kernel (1.9–3.3% E2E throughput) (#46862), reduce-scatter MoE all-reduce (3.1–3.2% E2E) (#46635), op fusion for GLM5/DSV3.2 (#46876),token_to_req_indicescache for DSv4 (5–6x kernel speedup) (#47474), better DSv4 MXFP8 kernel (#47229), redundant-op removal (#47198, #46651).fused_qk_norm_rope(#44010) andsilu_and_mul_per_block_quant(#43994), Triton MLA logits workspace (#46819), swap-AB optimization for fused MoE (#36559), vectorized fp32moe_sumsupporting any top-k (#46643), blocking CUDA events to avoid busy-polling the driver lock (#47081).ROCM_AITER_FA(#45033); fused shared-expert for GLM-4.5/6/7 (#44313) and MiniMax-M3 (#46474, #46545); AITER MoE optimization for DeepSeek-V4 (#46122); AITER custom all-reduce in CudaCommunicator (#46065); INT3 quantization for quickreduce (#45666).get_memory_info(#47134).get_memory_info(#44825).Large Scale Serving & Distributed
kv_transfer_paramsmerging (#46777), usage field exposed for disaggregated serving (#42748).Quantization
API & Frontend
metricsfield on Chat/Completions responses (#46768), token offsets on render endpoints (#44226),return_loss_maskfor training-data generation (#46846), HTTP 422 for unprocessable image URLs (#47165).process_eos()flush (#46437), raw-output recovery on non-terminal parse (#47062, #47379).repetition_detectionsampling param (#46684), unified/combined parser interface (#46583), reduced multimodal tensor copies (#47581), plus many parser and validation fixes.vllm chat(#46775),model_class_overridesfor development/debugging (#47148).thinking_token_budgetre-entry #43757); rejection of invalid config values (#44070, #44002, #46612) and degeneratestructured_outputsthat crash EngineCore (#45346).Security
split_audiowith NaN audio samples (#46463).truncation_sideis set (#47007).Dependencies
Deprecations & Removals
api_server.pymoved to the examples directory (#46783);gptq_marlinremoved from supported ROCm quant schemes (#46655).New Contributors
Contributors
Thank you to all the contributors who made this release possible!
@AndreasKaratzas, @njhill, @BugenZhao, @hmellor, @yewentao256, @WoosukKwon, @Sunt-ing, @micah-wil, @mgoin, @reidliu41, @peizhang56, @mawong-amd, @TheEpicDolphin, @jeejeelee, @taneem-ibrahim, @chaunceyjiang, @chaojun-zhang, @divakar-amd, @fxmarty-amd, @LopezCastroRoberto, @wzhao18, @mayuyuace, @jperezdealgaba, @noooop, @yzong-rh, @jikunshang, @zxd1997066, @bigPYJ1151, @yma11, @hickeyma, @benchislett, @xianbaoqian, @andakai, @NickLucche, @ivanium, @joerowell, @EazyReal, @mganczarenko, @majunze2001, @hongxiayang, @WindChimeRan, @Rohan138, @tjtanaa, @bbrowning, @thisjiang, @Fangzhou-Ai, @blasrodri, @Isotr0py, @zhenwei-intel, @zyongye, @frida-andersson, @muhammadfawaz1, @lcheng321, @spandantiwari, @Palaiologos1453, @soaringk, @Lynn-hh, @fadara01, @djramic, @Liangliang-Ma, @ronensc, @aarushjain29, @HDCharles, @qianlihuang, @AgenticSpark, @charlifu, @cleonard530, @shen-shanshan, @xaguilar-amd, @xiaohongchen1991, @varun-sundar-rabindranath, @gau-nernst, @tahsintunan, @GirasoleY, @hclsys, @Yejing-Lai, @LucasWilkinson, @matteso1, @akii96, @atalman, @lucianommartins, @I3eg1nner, @rahulssv-ibm, @ZichenYuan, @tanpinsiang, @hillelda, @Srinivasoo7, @Etelis, @Rukhaiya2004, @Oxygen56, @Priyjain-amd, @GuyStone, @nholmber, @CienetStingLin, @xinyu-intel, @JartX, @esmeetu, @hhhhhhhhhhhhhhhhho, @harsha20032020, @walterbm, @Acaciasama, @jessiewei7, @ashwin-phadke, @shivampr, @cyq1017, @kjiang249, @orestis-z, @xyang16, @tianmu-li, @mgehre-amd, @aaarkai, @guybd, @wcynb1023, @Josephasafg, @qyYue1389, @russellb, @haoyangli0109, @sfeng33, @mikekg, @EanWang211123, @ovidiusm, @ItsMatti4, @hyeongyun0916, @qli88, @juliendenize, @calvarado2004, @tdoublep, @brandonpelfrey, @davispuh, @weizhoublue, @jasonozuzu-cohere, @wentian-byte, @skajre, @gty111, @omirosh, @decarpentierg, @fjosw, @ilmarkov, @yuwenzho, @JisoLya, @JohnLangford, @aldenlobo, @bnellnm, @jasonlizhengjian, @zufangzhu, @izhuhaoran, @MatthewBonanni, @deng451e, @ashwing, @sriganesh123, @linitra24, @liranschour, @umarkovi-amd, @aman0603, @adobrzyn, @jwzheng96, @eicherseiji, @ArsalanShakil, @tc-mb, @imargulis, @fangyuchu, @puririshi98, @JeanPaulShapo, @VectorPeak, @tarjan1, @qiching, @Achyuthan-S, @ZJY0516, @lucifer1004, @cinnamonica02, @jmamou, @almayne, @hao-aaron, @Jyothirmaikottu, @andylolu2, @AIvashov, @stevenkuang-tencent, @lcskrishna, @Aneureka, @wan-danfeng, @chengzheng345, @pranavthakur0-0, @zRzRzRzRzRzRzR, @DanBlanaru, @adamkbaranowski, @wendyliu235, @eparshut, @yangyang-cs95, @kalyanamdewri, @maxdebayser, @fenghourun, @tpopp, @okorzh-amd, @labAxiaoming, @sychen52, @ekagra-ranjan, @gausah01, @yuyue0225sc, @cpersson-amd, @lslusarczyk, @alex101-ops, @Zhenzhong1, @velonica0, @zhongjing123, @zhou9402, @llsj14, @majian4work, @akinsella, @BadrBasowid, @afierka-intel, @ayush1399, @LiJzd, @jesco-absolut, @Laurent-Zhang, @Kevin-XiongC, @NathanielMcVicar, @askliar, @ACEEE-1222, @jinzhen-lin, @SherryC41, @simondanielsson, @nv-nedelman-1, @yisustc, @kylesayrs, @jialoop-git, @NicolasHug, @guan404ming, @HumphreySun98, @danielafrimi, @gcanlin, @robertgshaw2-redhat
v0.24.0Compare Source
vLLM v0.24.0 Release Notes
Highlights
This release features 571 commits from 256 contributors (77 new)!
Configuration
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