vLLM Files

Highlights

This release contains 452 commits from 167 contributors (31 new!)

NOTE: This is the last version where V0 engine code and features stay intact. We highly recommend migrate to V1 engine.

Engine Core

• Priority Scheduling is now implemented in V1 engine (#19057), embedding models in V1 (#16188), Mamba2 in V1 (#19327).
• Full CUDA‑Graph execution is now available for all FlashAttention v3 (FA3) and FlashMLA paths, including prefix‑caching. CUDA graph now has a live capture progress bar makes debugging easier (#20301, [#18581], [#19617], [#19501]).
• FlexAttention update – any head size, FP32 fallback (#20467, [#19754]).
• Shared CachedRequestData objects and cached sampler‑ID stores deliver perf enhancements (#20232, [#20291]).

Model Support

• New families: Ernie 4.5 (+MoE) (#20220), MiniMax‑M1 (#19677, [#20297]), Slim‑MoE “Phi‑tiny‑MoE‑instruct” (#20286), Tencent HunYuan‑MoE‑V1 (#20114), Keye‑VL‑8B‑Preview (#20126), GLM‑4.1 V (#19331), Gemma‑3 (text‑only, [#20134]), Tarsier 2 (#19887), Qwen 3 Embedding & Reranker (#19260), dots1 (#18254), GPT‑2 for Sequence Classification (#19663).
• Granite hybrid MoE configurations with shared experts are fully supported (#19652).

Large‑Scale Serving & Engine Improvements

• Expert‑Parallel Load Balancer (EPLB) has been added! (#18343, [#19790], [#19885]).
• Disaggregated serving enhancements: Avoid stranding blocks in P when aborted in D's waiting queue (#19223), let toy proxy handle /chat/completions (#19730)
• Native xPyD P2P NCCL transport as a base case for native PD without external dependency (#18242, [#20246]).

Hardware & Performance

• NVIDIA Blackwell
  • SM120: CUTLASS W8A8/FP8 kernels and related tuning, added to Dockerfile (#17280, [#19566], [#20071], [#19794])
  • SM100: block‑scaled‑group GEMM, INT8/FP8 vectorisation, deep‑GEMM kernels, activation‑chunking for MoE, and group‑size 64 for Machete (#19757, [#19572], [#19168], [#19085], [#20290], [#20331]).
• Intel GPU (V1) backend with Flash‑Attention support (#19560).
• AMD ROCm: full‑graph capture for TritonAttention, quick All‑Reduce, and chunked pre‑fill (#19158, [#19744], [#18596]).
  • Split‑KV support landed in the unified Triton Attention kernel, boosting long‑context throughput (#19152).
  • Full‑graph mode enabled in ROCm AITER MLA V1 decode path (#20254).
• TPU: dynamic‑grid KV‑cache updates, head‑dim less than 128, tuned paged‑attention kernels, and KV‑padding fixes (#19928, [#20235], [#19620], [#19813], [#20048], [#20339]).
  • Add models and features supporting matrix. (#20230)

Quantization

• Calibration‑free RTN INT4/INT8 pipeline for effortless, accurate compression (#18768).
• Compressed‑Tensor NVFP4 (including MoE) + emulation; FP4 emulation removed on < SM100 devices (#19879, [#19990], [#19563]).
• Dynamic MoE‑layer quant (Marlin/GPTQ) and INT8 vectorisation primitives (#19395, [#20331], [#19233]).
• Bits‑and‑Bytes 0.45 + with improved double‑quant logic and AWQ quality (#20424, [#20033], [#19431], [#20076]).

API · CLI · Frontend

• API Server: Eliminate api_key and x_request_id headers middleware overhead (#19946)
• New OpenAI‑compatible endpoints: /v1/audio/translations & revamped /v1/audio/transcriptions (#19615, [#20179], [#19597]).
• Token‑level progress bar for LLM.beam_search and cached template‑resolution speed‑ups (#19301, [#20065]).
• Image‑object support in llm.chat, tool‑choice expansion, and custom‑arg passthroughs enrich multi‑modal agents (#19635, [#17177], [#16862]).
• CLI QoL: better parsing for -O/--compilation-config, batch‑size‑sweep benchmarking, richer --help, faster startup (#20156, [#20516], [#20430], [#19941]).
• Metrics: Deprecate metrics with gpu_ prefix for non GPU specific metrics (#18354), Export NaNs in logits to scheduler_stats if output is corrupted (#18777)

Platform & Deployment

• No‑privileged CPU / Docker / K8s mode (#19241) and custom default max‑tokens for hosted platforms (#18557).
• Security hardening – runtime (cloud)pickle imports forbidden (#18018).
• Hermetic builds and wheel slimming (FA2 8.0 + PTX only) shrink supply‑chain surface (#18064, [#19336]).

What's Changed

• [Docs] Note that alternative structured output backends are supported by @russellb in https://github.com/vllm-project/vllm/pull/19426
• [ROCm][V1] Adding ROCm to the list of plaforms using V1 by default by @gshtras in https://github.com/vllm-project/vllm/pull/19440
• [Model] use AutoWeightsLoader for commandr by @py-andy-c in https://github.com/vllm-project/vllm/pull/19399
• Add H20-3e fused MoE kernel tuning configs for Qwen3-235B-A22B-FP8 by @Xu-Wenqing in https://github.com/vllm-project/vllm/pull/19401
• [BugFix] Allow use_cudagraph to work with dynamic VLLM_USE_V1 by @zou3519 in https://github.com/vllm-project/vllm/pull/19390
• [New Model]: Support Qwen3 Embedding & Reranker by @noooop in https://github.com/vllm-project/vllm/pull/19260
• [BugFix] Fix docker build cpu-dev image error by @2niuhe in https://github.com/vllm-project/vllm/pull/19394
• Fix test_max_model_len in tests/entrypoints/llm/test_generate.py by @houseroad in https://github.com/vllm-project/vllm/pull/19451
• [CI] Disable failing GGUF model test by @mgoin in https://github.com/vllm-project/vllm/pull/19454
• [Misc] Remove unused MultiModalHasher.hash_prompt_mm_data by @lgeiger in https://github.com/vllm-project/vllm/pull/19422
• Add fused MOE config for Qwen3 30B A3B on B200 by @0xjunhao in https://github.com/vllm-project/vllm/pull/19455
• Fix Typo in Documentation and Function Name by @leopardracer in https://github.com/vllm-project/vllm/pull/19442
• [ROCm] Add rules to automatically label ROCm related PRs by @houseroad in https://github.com/vllm-project/vllm/pull/19405
• [Kernel] Support deep_gemm for linear methods by @artetaout in https://github.com/vllm-project/vllm/pull/19085
• [Doc] Update V1 User Guide for Hardware and Models by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/19474
• [Doc] Fix quantization link titles by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/19478
• [Doc] Support "important" and "announcement" admonitions by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/19479
• [Misc] Reduce warning message introduced in env_override by @houseroad in https://github.com/vllm-project/vllm/pull/19476
• Support non-string values in JSON keys from CLI by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/19471
• Add cache to cuda get_device_capability by @mgoin in https://github.com/vllm-project/vllm/pull/19436
• Fix some typo by @Ximingwang-09 in https://github.com/vllm-project/vllm/pull/19475
• Support no privileged mode on CPU for docker and kubernetes deployments by @louie-tsai in https://github.com/vllm-project/vllm/pull/19241
• [Bugfix] Update the example code, make it work with the latest lmcache by @runzhen in https://github.com/vllm-project/vllm/pull/19453
• [CI] Update FlashInfer to 0.2.6.post1 by @mgoin in https://github.com/vllm-project/vllm/pull/19297
• [doc] fix "Other AI accelerators" getting started page by @davidxia in https://github.com/vllm-project/vllm/pull/19457
• [Misc] Fix misleading ROCm warning by @jeejeelee in https://github.com/vllm-project/vllm/pull/19486
• [Docs] Remove WIP features in V1 guide by @WoosukKwon in https://github.com/vllm-project/vllm/pull/19498
• [Kernels] Add activation chunking logic to FusedMoEModularKernel by @bnellnm in https://github.com/vllm-project/vllm/pull/19168
• [AMD] [Quantization] Add override flag for attention dtype instead of using kv_cache_dtype trigger by @rasmith in https://github.com/vllm-project/vllm/pull/17331
• [UX] Add Feedback During CUDAGraph Capture by @robertgshaw2-redhat in https://github.com/vllm-project/vllm/pull/19501
• [CI/Build] Fix torch nightly CI dependencies by @zou3519 in https://github.com/vllm-project/vllm/pull/19505
• [CI] change spell checker from codespell to typos by @andyxning in https://github.com/vllm-project/vllm/pull/18711
• [BugFix] Force registration of w8a8_block_fp8_matmul_deepgemm via lazy import by @varun-sundar-rabindranath in https://github.com/vllm-project/vllm/pull/19514
• Add Triton Fused MoE kernel config for E=16 on B200 by @b8zhong in https://github.com/vllm-project/vllm/pull/19518
• [Frontend] Improve error message in tool_choice validation by @22quinn in https://github.com/vllm-project/vllm/pull/19239
• [BugFix] Work-around incremental detokenization edge case error by @njhill in https://github.com/vllm-project/vllm/pull/19449
• [BugFix] Handle missing sep_token for Qwen3-Reranker in Score API by @strutive07 in https://github.com/vllm-project/vllm/pull/19522
• [AMD][Kernel][BugFix] fix test_rocm_compressed_tensors_w8a8 for rocm by @rasmith in https://github.com/vllm-project/vllm/pull/19509
• Fix typo by @2niuhe in https://github.com/vllm-project/vllm/pull/19525
• [Security] Prevent new imports of (cloud)pickle by @russellb in https://github.com/vllm-project/vllm/pull/18018
• [Bugfix][V1] Allow manual FlashAttention for Blackwell by @mgoin in https://github.com/vllm-project/vllm/pull/19492
• [Bugfix] Respect num-gpu-blocks-override in v1 by @jmswen in https://github.com/vllm-project/vllm/pull/19503
• [Quantization] Improve AWQ logic by @jeejeelee in https://github.com/vllm-project/vllm/pull/19431
• [Doc] Add V1 column to supported models list by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/19523
• [NixlConnector] Drop num_blocks check by @NickLucche in https://github.com/vllm-project/vllm/pull/19532
• [Perf] Vectorize static / dynamic INT8 quant kernels by @yewentao256 in https://github.com/vllm-project/vllm/pull/19233
• Fix TorchAOConfig skip layers by @mobicham in https://github.com/vllm-project/vllm/pull/19265
• [torch.compile][ROCm] Fuse quantization onto attention using a torch.compile pass by @ProExpertProg in https://github.com/vllm-project/vllm/pull/16756
• [doc] Make top navigation sticky by @reidliu41 in https://github.com/vllm-project/vllm/pull/19540
• [Spec Decode][Benchmark] Generalize spec decode offline benchmark to more methods and datasets by @ekagra-ranjan in https://github.com/vllm-project/vllm/pull/18847
• [Misc] Turn MOE_DP_CHUNK_SIZE into an env var by @varun-sundar-rabindranath in https://github.com/vllm-project/vllm/pull/19506
• [Bugfix] Enforce contiguous input for dynamic_per_token FP8/INT8 quant by @mgoin in https://github.com/vllm-project/vllm/pull/19452
• [Doc] Unify structured outputs examples by @aarnphm in https://github.com/vllm-project/vllm/pull/18196
• [V1] Resolve failed concurrent structred output requests by @russellb in https://github.com/vllm-project/vllm/pull/19565
• Revert "[Build/CI] Add tracing deps to vllm container image (#15224)" by @kouroshHakha in https://github.com/vllm-project/vllm/pull/19378
• [BugFix] : Fix Batched DeepGemm Experts by @varun-sundar-rabindranath in https://github.com/vllm-project/vllm/pull/19515
• [Bugfix] Fix EAGLE vocab embedding for multimodal target model by @zixi-qi in https://github.com/vllm-project/vllm/pull/19570
• [Doc] uses absolute links for structured outputs by @aarnphm in https://github.com/vllm-project/vllm/pull/19582
• [doc] fix incorrect link by @reidliu41 in https://github.com/vllm-project/vllm/pull/19586
• [Misc] Correct broken docs link by @Zerohertz in https://github.com/vllm-project/vllm/pull/19553
• [CPU] Refine default config for the CPU backend by @bigPYJ1151 in https://github.com/vllm-project/vllm/pull/19539
• [Fix] bump mistral common to support magistral by @princepride in https://github.com/vllm-project/vllm/pull/19533
• [Fix] The zip function in Python 3.9 does not have the strict argument by @princepride in https://github.com/vllm-project/vllm/pull/19549
• use base version for version comparison by @BoyuanFeng in https://github.com/vllm-project/vllm/pull/19587
• [torch.compile] reorganize the cache directory to support compiling multiple models by @youkaichao in https://github.com/vllm-project/vllm/pull/19064
• [BugFix] Honor enable_caching in connector-delayed kvcache load case by @njhill in https://github.com/vllm-project/vllm/pull/19435
• [Model] Fix minimax model cache & lm_head precision by @qscqesze in https://github.com/vllm-project/vllm/pull/19592
• [Refactor] Remove unused variables in moe_permute_unpermute_kernel.inl by @yewentao256 in https://github.com/vllm-project/vllm/pull/19573
• [doc][mkdocs] fix the duplicate Supported features sections in GPU docs by @reidliu41 in https://github.com/vllm-project/vllm/pull/19606
• [CUDA] Enable full cudagraph for FlashMLA by @ProExpertProg in https://github.com/vllm-project/vllm/pull/18581
• [Doc] Add troubleshooting section to k8s deployment by @annapendleton in https://github.com/vllm-project/vllm/pull/19377
• [torch.compile] Use custom ops when use_inductor=False by @WoosukKwon in https://github.com/vllm-project/vllm/pull/19618
• Adding "AMD: Multi-step Tests" to amdproduction. by @Concurrensee in https://github.com/vllm-project/vllm/pull/19508
• [BugFix] Fix DP Coordinator incorrect debug log message by @njhill in https://github.com/vllm-project/vllm/pull/19624
• [V1][Metrics] Deprecate metrics with gpu_ prefix for non GPU specific metrics. by @sahelib25 in https://github.com/vllm-project/vllm/pull/18354
• [Bugfix][1/n] Fix the speculative decoding test by setting the target dtype by @houseroad in https://github.com/vllm-project/vllm/pull/19633
• [Misc] Modularize CLI Argument Parsing in Benchmark Scripts by @reidliu41 in https://github.com/vllm-project/vllm/pull/19593
• [Bugfix] Fix auto dtype casting for BatchFeature by @Isotr0py in https://github.com/vllm-project/vllm/pull/19316
• [Hardware][NVIDIA][kernel] Fp4 MOE quant kernel optimization by @jiahanc in https://github.com/vllm-project/vllm/pull/19500
• Only build CUTLASS MoE kernels on Hopper by @huydhn in https://github.com/vllm-project/vllm/pull/19648
• [Bugfix] Don't attempt to use triton if no driver is active by @kzawora-intel in https://github.com/vllm-project/vllm/pull/19561
• [Fix] Convert kv_transfer_config from dict to KVTransferConfig by @maobaolong in https://github.com/vllm-project/vllm/pull/19262
• [Perf] Further tunings for SM100 FP8 CUTLASS kernel by @ilmarkov in https://github.com/vllm-project/vllm/pull/19566
• [Bugfix][2/n] Fix speculative decoding CI - Fix test_ngram_e2e_greedy_correctness by @houseroad in https://github.com/vllm-project/vllm/pull/19644
• [Kernel] Raise verbose error and consolidate num_heads/num_kv_heads divisibility check by @22quinn in https://github.com/vllm-project/vllm/pull/19339
• [Benchmark] Refactor benchmark script for fp8 & int8 by @yewentao256 in https://github.com/vllm-project/vllm/pull/19627
• Enable prefix caching with full cuda graphs by @WoosukKwon in https://github.com/vllm-project/vllm/pull/19617
• [CI/Build] Fix torch nightly CI dependencies part 2 by @zou3519 in https://github.com/vllm-project/vllm/pull/19589
• [Misc] Remove duplicate multiproc method setting for CPU platform by @Isotr0py in https://github.com/vllm-project/vllm/pull/19649
• [MISC] Remove unused variableds in C++ by @houseroad in https://github.com/vllm-project/vllm/pull/19609
• [Bugfix][Core] Prefix caching causes incorrect outputs due to outdated ComputedBlocksTracker by @quanliu1991 in https://github.com/vllm-project/vllm/pull/18957
• [Misc][Frontend] passthrough bad_words by @f14-bertolotti in https://github.com/vllm-project/vllm/pull/19564
• [Misc] Fix skipped max-model-len validation when deriving max model length from tokenizer config by @yeqcharlotte in https://github.com/vllm-project/vllm/pull/19660
• [TPU] support attention head dim smaller than 128 by @yaochengji in https://github.com/vllm-project/vllm/pull/19620
• [MISC] typo fix by @andyxning in https://github.com/vllm-project/vllm/pull/19672
• [CI] Add mteb testing for rerank models by @noooop in https://github.com/vllm-project/vllm/pull/19344
• [Docs] Move multiproc doc to v1 dir by @russellb in https://github.com/vllm-project/vllm/pull/19651
• [Kernel] GGUF MMVQ kernel for multiple input vectors by @SzymonOzog in https://github.com/vllm-project/vllm/pull/18754
• [BugFix] Don't catch BaseException when dumping execute_model errors by @njhill in https://github.com/vllm-project/vllm/pull/19626
• [DOC] Add reasoning capability to vLLM streamlit code by @Navanit-git in https://github.com/vllm-project/vllm/pull/19557
• [Feature]:Allow for Granite MoE Hybrid models with only shared experts. by @shawntan in https://github.com/vllm-project/vllm/pull/19652
• [Bugfix] Fix TP inference for Flex attention backend by @Isotr0py in https://github.com/vllm-project/vllm/pull/19657
• [MISC] bump huggingface_hub pkg to 0.33.0 by @andyxning in https://github.com/vllm-project/vllm/pull/19547
• [Bugfix] fix missing 'finish_reason': null in streaming chat by @chaunceyjiang in https://github.com/vllm-project/vllm/pull/19662
• [Kernels] Use empty for modular MoE workspaces by @bnellnm in https://github.com/vllm-project/vllm/pull/19667
• [Model] Add support for MiniMaxM1ForCausalLM (shares architecture with MiniMaxText01ForCausalLM) by @qscqesze in https://github.com/vllm-project/vllm/pull/19677
• [V1] Change return type on get_multimodal_embeddings() by @russellb in https://github.com/vllm-project/vllm/pull/19446
• [Quantization] Remove FP4 emulation; Fall-back to marlin for device < 100 by @dsikka in https://github.com/vllm-project/vllm/pull/19563
• [Fix] Fall back to Gloo when NCCL backend is unavailable by @conroy-cheers in https://github.com/vllm-project/vllm/pull/19641
• [doc] add project flag to gcloud TPU command by @davidxia in https://github.com/vllm-project/vllm/pull/19664
• [Wheel Size] Only build FA2 8.0+PTX by @LucasWilkinson in https://github.com/vllm-project/vllm/pull/19336
• [Frontend] add chunking audio for > 30s audio by @nguyenhoangthuan99 in https://github.com/vllm-project/vllm/pull/19597
• [DOC] fix doc typos by @diliu0349 in https://github.com/vllm-project/vllm/pull/19600
• Fixes IMA for TP w/ flex-attention by @drisspg in https://github.com/vllm-project/vllm/pull/19712
• [Core] add remove_seq_from_computed_blocks_tracker to BlockSpaceManager by @quanliu1991 in https://github.com/vllm-project/vllm/pull/19686
• [Doc] Add missing llava family multi-image examples by @Isotr0py in https://github.com/vllm-project/vllm/pull/19698
• Add a doc on how to update PyTorch version by @huydhn in https://github.com/vllm-project/vllm/pull/19705
• [Kernel] Add Split-KV Support to Unified Triton Attention Kernel by @jvlunteren in https://github.com/vllm-project/vllm/pull/19152
• [doc][mkdocs] Add edit button to documentation by @reidliu41 in https://github.com/vllm-project/vllm/pull/19637
• [doc] split "Other AI Accelerators" tabs by @davidxia in https://github.com/vllm-project/vllm/pull/19708
• [V1][Kernel] Flashinfer HND KV cache layout by @NickLucche in https://github.com/vllm-project/vllm/pull/19280
• [Mis] remove duplicate engine status checks by @googs1025 in https://github.com/vllm-project/vllm/pull/19647
• [Bugfix] Update multimodel models mapping to fit new checkpoint after Transformers v4.52 by @Isotr0py in https://github.com/vllm-project/vllm/pull/19151
• [Perf] Optimize moe_align_block_size CUDA kernel by @yewentao256 in https://github.com/vllm-project/vllm/pull/19572
• Remove sm120 arch from sm100 cutlass kernel arch list by @mgoin in https://github.com/vllm-project/vllm/pull/19716
• [Misc] Update lmcache connector with the latest connector apis by @YaoJiayi in https://github.com/vllm-project/vllm/pull/19441
• [Bugfix] Fix faulty triton importing logic when using Ray for DP by @mgoin in https://github.com/vllm-project/vllm/pull/19734
• [Feature][ROCm] Add full graph capture support for TritonAttentionBackend by @charlifu in https://github.com/vllm-project/vllm/pull/19158
• [TPU] Update torch version to include paged attention kernel change by @Chenyaaang in https://github.com/vllm-project/vllm/pull/19706
• [MISC] correct copy_blocks src_to_dists param type by @andyxning in https://github.com/vllm-project/vllm/pull/19696
• [MISC] correct DeviceConfig device field static type analysis by @andyxning in https://github.com/vllm-project/vllm/pull/19699
• [Misc] Add str for RequestStatus by @lk-chen in https://github.com/vllm-project/vllm/pull/19780
• [V1] Add API docs for EncoderCacheManager by @russellb in https://github.com/vllm-project/vllm/pull/19294
• [V1][P/D] An native implementation of xPyD based on P2P NCCL by @Abatom in https://github.com/vllm-project/vllm/pull/18242
• [V1] Decouple GPU and TPU InputBatch by @afeldman-nm in https://github.com/vllm-project/vllm/pull/19778
• [Minor] Zero-initialize attn output buffer by @WoosukKwon in https://github.com/vllm-project/vllm/pull/19784
• [doc] fix the incorrect label by @reidliu41 in https://github.com/vllm-project/vllm/pull/19787
• [Platform] Allow platform use V1 Engine by default by @wangxiyuan in https://github.com/vllm-project/vllm/pull/19792
• [Qwen] Add tagging rule for Qwen related PRs by @houseroad in https://github.com/vllm-project/vllm/pull/19799
• [Hardware][AMD] integrate aiter chunked prefill into vllm by @Zzz9990 in https://github.com/vllm-project/vllm/pull/18596
• [Bugfix] fix RAY_CGRAPH_get_timeout is not set successfully by @chaunceyjiang in https://github.com/vllm-project/vllm/pull/19725
• [Docs] Add Huzaifa Sidhpurwala to vuln mgmt team doc by @russellb in https://github.com/vllm-project/vllm/pull/19808
• [v1] Support mamba2 by @heheda12345 in https://github.com/vllm-project/vllm/pull/19327
• docs: fix Slack bulletpoint in README by @nathan-weinberg in https://github.com/vllm-project/vllm/pull/19811
• Disable "Forbid direct 'import triton'" check for vllm/triton_utils/importing.py in an extensible way by @afeldman-nm in https://github.com/vllm-project/vllm/pull/19783
• [Core] Do not copy array during hashing by @lgeiger in https://github.com/vllm-project/vllm/pull/19484
• [TPU] Update torch-xla version to include paged attention tuned block change by @QiliangCui in https://github.com/vllm-project/vllm/pull/19813
• [Core] More fixes to MultiModalEmbeddings type handling by @russellb in https://github.com/vllm-project/vllm/pull/19715
• [Multimodal] Use fast processor for Qwen2/2.5-VL by @WoosukKwon in https://github.com/vllm-project/vllm/pull/19789
• [BugFix] Fix use_cudagraph=False by @zou3519 in https://github.com/vllm-project/vllm/pull/19612
• [Frontend] Expose custom args in OpenAI APIs by @afeldman-nm in https://github.com/vllm-project/vllm/pull/16862
• Fix FA2 fallback for Blackwell V1 by @mgoin in https://github.com/vllm-project/vllm/pull/19781
• [Misc][ROCm] Enforce no unused variable in ROCm C++ files by @houseroad in https://github.com/vllm-project/vllm/pull/19796
• [Quantization] Modify the logic of BNB double quantization by @jeejeelee in https://github.com/vllm-project/vllm/pull/19742
• Support embedding models in V1 by @maxdebayser in https://github.com/vllm-project/vllm/pull/16188
• [Bugfix] Fix the linter by @houseroad in https://github.com/vllm-project/vllm/pull/19826
• [Bugfix] Add check_health to v1 async client. by @kouroshHakha in https://github.com/vllm-project/vllm/pull/19821
• Mark invariant normalizer in Gemma as non-persistent by @yhtang in https://github.com/vllm-project/vllm/pull/19788
• [ROCm] [AITER] [Bugfix] Patch for AITER commit 648764942e552a8bb5fe16026703716a81f05374 by @tjtanaa in https://github.com/vllm-project/vllm/pull/18990
• [Misc] [ROCm] Prevent surplus tensor reshape by @zsolt-borbely-htec in https://github.com/vllm-project/vllm/pull/19803
• raise exception for pin_lora by @andyxning in https://github.com/vllm-project/vllm/pull/19809
• [Minor] Allow redirecting model path for HfRunner in test by @Isotr0py in https://github.com/vllm-project/vllm/pull/19795
• Add xLAM tool parser support by @zuxin666 in https://github.com/vllm-project/vllm/pull/17148
• [Frontend] Add optional token-level progress bar to LLM.beam_search by @NekoMimiUnagi in https://github.com/vllm-project/vllm/pull/19301
• Fixing Chunked Prefill Test. by @Alexei-V-Ivanov-AMD in https://github.com/vllm-project/vllm/pull/19762
• [Doc] Update V1 user guide for embedding models by @22quinn in https://github.com/vllm-project/vllm/pull/19842
• [CI][CPU] Improve dummy Triton interfaces and fix the CPU CI by @bigPYJ1151 in https://github.com/vllm-project/vllm/pull/19838
• [Core][Bugfix] Fix Online MM Beam Search by @alex-jw-brooks in https://github.com/vllm-project/vllm/pull/19688
• [Frontend] early return chat format resolution when specified by @xzbdmw in https://github.com/vllm-project/vllm/pull/19735
• [Benchmark][Bugfix] Fix Dataset Length Calculation by @robertgshaw2-redhat in https://github.com/vllm-project/vllm/pull/19868
• [CI/Build][Bugfix] Fix deadlock on v1 engine test CI by @Isotr0py in https://github.com/vllm-project/vllm/pull/19872
• [CI][Neuron] Fail and exit on first error by @elaineyz in https://github.com/vllm-project/vllm/pull/19622
• [Benchmark] Fix Value of type "SampleRequest" is not indexable by @b8zhong in https://github.com/vllm-project/vllm/pull/18032
• [Chore]: qwen3-moe-type-hints-mistake by @Xerxes-cn in https://github.com/vllm-project/vllm/pull/19860
• [Bugfix] Enable PP with AITER+V1 by @qli88 in https://github.com/vllm-project/vllm/pull/19822
• [Bugfix][Ray] Set the cuda context eagerly in the ray worker by @kouroshHakha in https://github.com/vllm-project/vllm/pull/19583
• [Misc] update cuda version by @reidliu41 in https://github.com/vllm-project/vllm/pull/19526
• [Misc] refactor example - openai_transcription_client by @reidliu41 in https://github.com/vllm-project/vllm/pull/19851
• [Kernel] correct cpu worker function parameter type by @andyxning in https://github.com/vllm-project/vllm/pull/19745
• [Fix] import regex instead of re by @tdoublep in https://github.com/vllm-project/vllm/pull/19875
• [Model] GPT2ForSequenceClassification model by @nie3e in https://github.com/vllm-project/vllm/pull/19663
• [custom_op][vllm-plugin] update custom_op class to use op_registry by @xuechendi in https://github.com/vllm-project/vllm/pull/19164
• Export NaNs in logits to scheduler_stats if output is corrupted by @vladmihailescu in https://github.com/vllm-project/vllm/pull/18777
• [CPU][CI] Fallback sliding window to v0 and fix CPU pooling model tests by @bigPYJ1151 in https://github.com/vllm-project/vllm/pull/19901
• [Kernel] mark TorchSDPABackend swap_blocks NotImplementedError by @andyxning in https://github.com/vllm-project/vllm/pull/19749
• [Misc] Clean up useless code by @wangxiyuan in https://github.com/vllm-project/vllm/pull/19889
• Fix: Check the type of params to be a Sequence not list. by @rabinadk1 in https://github.com/vllm-project/vllm/pull/19910
• [Bugfix] Fix bnb 8bit model weights loading by @Isotr0py in https://github.com/vllm-project/vllm/pull/19917
• [New model support]Support Tarsier2 by @princepride in https://github.com/vllm-project/vllm/pull/19887
• [doc] add contact us in community by @reidliu41 in https://github.com/vllm-project/vllm/pull/19922
• [Multimodal] Optimize Qwen2/2.5-VL startup time by @WoosukKwon in https://github.com/vllm-project/vllm/pull/19756
• [Docs] Add GPT2ForSequenceClassification to supported models in docs by @nie3e in https://github.com/vllm-project/vllm/pull/19932
• [Misc] add vllm_config in init by @andyxning in https://github.com/vllm-project/vllm/pull/19866
• [MISC] add cpu_kvcache_space_bytes to CacheConfig by @andyxning in https://github.com/vllm-project/vllm/pull/19812
• [Benchmark] fix request loss if "ping" is returned by @sywangyi in https://github.com/vllm-project/vllm/pull/19535
• [CI/Build] Auto tag perf benchmarks related PRs by @22quinn in https://github.com/vllm-project/vllm/pull/19943
• [doc] use snippets for contact us by @reidliu41 in https://github.com/vllm-project/vllm/pull/19944
• [Misc] Update model-specific PR tagging by @ywang96 in https://github.com/vllm-project/vllm/pull/19949
• [Misc] Simplify vllm bench cli subcommand implementation by @yeqcharlotte in https://github.com/vllm-project/vllm/pull/19948
• [Chore] dedup logs by @aarnphm in https://github.com/vllm-project/vllm/pull/19955
• [BugFix] Add an env to disable moe chunking to work around compile incompatibility by @yeqcharlotte in https://github.com/vllm-project/vllm/pull/19642
• [Perf][CLI] Improve overall startup time by @aarnphm in https://github.com/vllm-project/vllm/pull/19941
• [Core] feat: Implement Priority Scheduling in V1 Engine by @amitm02 in https://github.com/vllm-project/vllm/pull/19057
• [Misc] Configurable timeout for execute_model RPC calls via env var by @jinqinn in https://github.com/vllm-project/vllm/pull/19544
• Fix(models/siglip): Add compatibility for Gemma models quantized by llm-compressor by @Flink-ddd in https://github.com/vllm-project/vllm/pull/19643
• [doc] Fold long code blocks to improve readability by @reidliu41 in https://github.com/vllm-project/vllm/pull/19926
• [P/D][NixlConnector] Support tp_size > num_kv_heads deployments by @NickLucche in https://github.com/vllm-project/vllm/pull/19691
• [BugFix][P/D] Fix for cases where _recving_transfers can be cleaned up when all transfer done by @lk-chen in https://github.com/vllm-project/vllm/pull/19874
• [Doc] Update V1 status for decoder-only embedding models by @Isotr0py in https://github.com/vllm-project/vllm/pull/19952
• [doc] use MkDocs collapsible blocks - supplement by @reidliu41 in https://github.com/vllm-project/vllm/pull/19973
• [Bugfix] Fix CI bitsandbytes failure by @jeejeelee in https://github.com/vllm-project/vllm/pull/19969
• [doc] improve readability for long commands by @reidliu41 in https://github.com/vllm-project/vllm/pull/19920
• [Docs] Fix syntax highlighting of shell commands by @lgeiger in https://github.com/vllm-project/vllm/pull/19870
• [EP+DP] Optimize the little operations in the DeepGEMM + DeepEP low latency case by @tlrmchlsmth in https://github.com/vllm-project/vllm/pull/19885
• [Bugfix][v1] Fix step pooler implementation and step pooling usage in v1 by @Isotr0py in https://github.com/vllm-project/vllm/pull/19956
• [Misc] Add type alias ReqId and EngineId for better readability by @lk-chen in https://github.com/vllm-project/vllm/pull/19880
• [Feature] Support sequence parallelism for static fp8 quantization by @cascade812 in https://github.com/vllm-project/vllm/pull/19181
• [CI/Build] Push latest tag for cpu and neuron docker image by @22quinn in https://github.com/vllm-project/vllm/pull/19897
• Feat Dynamic Quantization for MoE Layers in GPTQ Marlin Backend by @Jun-Howie in https://github.com/vllm-project/vllm/pull/19395
• [Bugfix][Benchmark] Fix Marlin benchmark by @22quinn in https://github.com/vllm-project/vllm/pull/19929
• [TPU] Fix tpu model runner test by @Chenyaaang in https://github.com/vllm-project/vllm/pull/19995
• Update test case parameter to have the throughput above 8.0 by @QiliangCui in https://github.com/vllm-project/vllm/pull/19994
• [Misc][Tools][Benchmark] Add profile to autotune script by @Chenyaaang in https://github.com/vllm-project/vllm/pull/19711
• [doc] Fix broken link in the installation for CPU by @yankay in https://github.com/vllm-project/vllm/pull/19980
• add some examples for other benchmark scripts by @reidliu41 in https://github.com/vllm-project/vllm/pull/19893
• [PERF] Speedup of MRoPE prepare inputs by @vadiklyutiy in https://github.com/vllm-project/vllm/pull/19939
• [Bugfix][CPU] Fix InputBatch for pooling models in the CPU v1 by @bigPYJ1151 in https://github.com/vllm-project/vllm/pull/20014
• refactor example - qwen3_reranker by @reidliu41 in https://github.com/vllm-project/vllm/pull/19847
• [Fix][V1] Remove --scheduling-policy oracle by @amitm02 in https://github.com/vllm-project/vllm/pull/20010
• [Perf] Improve/Fix-regression for FA3 in High QPS regimes by @LucasWilkinson in https://github.com/vllm-project/vllm/pull/19463
• [Misc][Benchmarking] Add variable request-rate ("ramp-up") to the benchmarking client. by @dtransposed in https://github.com/vllm-project/vllm/pull/19423
• [BugFix] Fix multi-node offline data parallel by @njhill in https://github.com/vllm-project/vllm/pull/19937
• [P/D] Asynchronously do _nixl_handshake by @lk-chen in https://github.com/vllm-project/vllm/pull/19836
• [Feature] Integrate new deepgemm by @yewentao256 in https://github.com/vllm-project/vllm/pull/19820
• [Easy] Remove submodule added in [#19463] by @b8zhong in https://github.com/vllm-project/vllm/pull/20039
• use .dev for version comparison with pytorch nightly release by @BoyuanFeng in https://github.com/vllm-project/vllm/pull/20031
• cmake: Update vllm_flash_attn for vllm_kernels by @seemethere in https://github.com/vllm-project/vllm/pull/20032
• [Llama4] Update attn_temperature_tuning by @b8zhong in https://github.com/vllm-project/vllm/pull/19997
• Revert "[Feature] Integrate new deepgemm (#19820)" by @yewentao256 in https://github.com/vllm-project/vllm/pull/20049
• Revert "Fix(models/siglip): Add compatibility for Gemma models quantized by llm-compressor" by @Isotr0py in https://github.com/vllm-project/vllm/pull/20030
• Move to a faster base64 implementation by @h-avsha in https://github.com/vllm-project/vllm/pull/19984
• [Frontend] speed up import time of vllm.config by @davidxia in https://github.com/vllm-project/vllm/pull/18036
• [Refactor] Remove duplicate ceil_div by @yewentao256 in https://github.com/vllm-project/vllm/pull/20023
• [Feat][CLI] enforce-include-usage by @max-wittig in https://github.com/vllm-project/vllm/pull/19695
• [Kernels][Bugfix] Use torch op for all kernels in FusedMoE forward. Add additional testing for cudagraphs. by @bnellnm in https://github.com/vllm-project/vllm/pull/19717
• [Chore] debloat some initial logs by @aarnphm in https://github.com/vllm-project/vllm/pull/19438
• [BugFix] Fix full-cuda-graph illegal memory access in FA3 by @LucasWilkinson in https://github.com/vllm-project/vllm/pull/20057
• [doc] add reference link for Intel XPU by @reidliu41 in https://github.com/vllm-project/vllm/pull/20064
• [Doc] Guide for Incremental Compilation Workflow by @mgoin in https://github.com/vllm-project/vllm/pull/19109
• [V1][Speculative Decoding] Fix DeepSeek MTP by @cjackal in https://github.com/vllm-project/vllm/pull/20022
• [Frontend] Add /v1/audio/translations OpenAI API endpoint by @NickLucche in https://github.com/vllm-project/vllm/pull/19615
• [Quantization] Add compressed-tensors emulations support for NVFP4 by @dsikka in https://github.com/vllm-project/vllm/pull/19879
• [Fix] Support cls pooling in ModernBertPooler by @lsz05 in https://github.com/vllm-project/vllm/pull/20067
• static_scaled_fp8_quant should not run when scale.numel is not 1 by @eldarkurtic in https://github.com/vllm-project/vllm/pull/20076
• [PD] let toy proxy handle /chat/completions by @lk-chen in https://github.com/vllm-project/vllm/pull/19730
• [Misc] Add parallel state node_count function by @njhill in https://github.com/vllm-project/vllm/pull/20045
• Fix the path to the testing script. by @QiliangCui in https://github.com/vllm-project/vllm/pull/20082
• [Bugfix] default set cuda_graph_sizes to max_num_seqs for v1 engine by @izhuhaoran in https://github.com/vllm-project/vllm/pull/20062
• [TPU][Bugfix] fix kv cache padding by @yaochengji in https://github.com/vllm-project/vllm/pull/20048
• [P/D] Avoid stranding blocks in P when aborted in D's waiting queue by @njhill in https://github.com/vllm-project/vllm/pull/19223
• [TPU] Add TPU specific var VLLM_TPU_MOST_MODEL_LEN by @Chenyaaang in https://github.com/vllm-project/vllm/pull/19919
• [CI] Add SM120 to the Dockerfile by @mgoin in https://github.com/vllm-project/vllm/pull/19794
• [Bugfix] Fix Mistral tool-parser regex for nested JSON by @mgoin in https://github.com/vllm-project/vllm/pull/20093
• [PD] Skip tp_size exchange with rank0 by @NickLucche in https://github.com/vllm-project/vllm/pull/19413
• [Benchmark][Bug] Fix multiple bugs in bench and add args to spec_decode offline by @ekagra-ranjan in https://github.com/vllm-project/vllm/pull/20083
• [Bugfix] Allow CUDA_VISIBLE_DEVICES='' in Platform.device_id_to_physical_device_id by @eicherseiji in https://github.com/vllm-project/vllm/pull/18979
• [Doc] Update docs for New Model Implementation by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/20115
• [Refactor] Remove unused library by @yewentao256 in https://github.com/vllm-project/vllm/pull/20099
• [CPU] Fix torch version in x86 CPU backend by @bigPYJ1151 in https://github.com/vllm-project/vllm/pull/19258
• [Misc] Use collapsible blocks for benchmark examples. by @reidliu41 in https://github.com/vllm-project/vllm/pull/20017
• [Docs] Improve frameworks/helm.md by @windsonsea in https://github.com/vllm-project/vllm/pull/20113
• [Bugfix][V1][ROCm] Fix AITER Flash Attention Backend (Fix API Break and Local Attention Logic: affecting Llama4) by @tjtanaa in https://github.com/vllm-project/vllm/pull/19904
• Revert "[Bugfix] default set cuda_graph_sizes to max_num_seqs for v1 engine" by @mgoin in https://github.com/vllm-project/vllm/pull/20128
• [Bug Fix] Fix address/port already in use error for pplx test by @yewentao256 in https://github.com/vllm-project/vllm/pull/20094
• [Doc] Automatically signed-off by PyCharm by @noooop in https://github.com/vllm-project/vllm/pull/20120
• [Doc] Auto sign-off for VSCode by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/20132
• [Doc] Rename page titles by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/20130
• Spam folks if config.py changes by @tlrmchlsmth in https://github.com/vllm-project/vllm/pull/20131
• [Hardware][Intel GPU] Add v1 Intel GPU support with Flash attention backend. by @jikunshang in https://github.com/vllm-project/vllm/pull/19560
• [TPU] add kv cache update kernel by @yaochengji in https://github.com/vllm-project/vllm/pull/19928
• [Refactor] Rename commnication utils by @yewentao256 in https://github.com/vllm-project/vllm/pull/20091
• [Doc] correct LoRA capitalization by @kyolebu in https://github.com/vllm-project/vllm/pull/20135
• [Feature] Expert Parallelism Load Balancer (EPLB) by @abmfy in https://github.com/vllm-project/vllm/pull/18343
• [CI Failure] Fix OOM with test_oot_registration_embedding by @mgoin in https://github.com/vllm-project/vllm/pull/20144
• [Quantization] Bump to use latest compressed-tensors by @dsikka in https://github.com/vllm-project/vllm/pull/20033
• [Perf] SM100 FP8 GEMM Optimizations after cutlass_profiler by @ilmarkov in https://github.com/vllm-project/vllm/pull/20071
• [Bugfix] Build moe_data for both sm100 and sm90 by @mgoin in https://github.com/vllm-project/vllm/pull/20086
• [Feature][Rocm] add quick all reduce for rocm by @lihaoyang-amd in https://github.com/vllm-project/vllm/pull/19744
• [CI] Sync test dependency with test.in for torch nightly by @yangw-dev in https://github.com/vllm-project/vllm/pull/19632
• [Fix] Fix gemma CI test failing on main by @tdoublep in https://github.com/vllm-project/vllm/pull/20124
• [Model][1/N] Automatic conversion of CrossEncoding model by @noooop in https://github.com/vllm-project/vllm/pull/20012
• [Perf][Frontend]: eliminate api_key and x_request_id headers middleware overhead by @Yazan-Sharaya in https://github.com/vllm-project/vllm/pull/19946
• Quick Fix by adding conditional import for flash_attn_varlen_func in flash_attn by @xuechendi in https://github.com/vllm-project/vllm/pull/20143
• Gemma3n (Text-only) by @robertgshaw2-redhat in https://github.com/vllm-project/vllm/pull/20134
• [Bugfix] Fix flaky failure when getting DP ports by @mgoin in https://github.com/vllm-project/vllm/pull/20151
• [Perf][Frontend] Cached resolution for resolving chat templates by @ilyal-cerebras in https://github.com/vllm-project/vllm/pull/20065
• [Fix][ROCm] Remove unused variables to fix build error on GFX11/12 by @hyoon1 in https://github.com/vllm-project/vllm/pull/19891
• [Fix][torch.compile] Enable custom ops by default when Inductor off by @ProExpertProg in https://github.com/vllm-project/vllm/pull/20102
• [Bugfix] Mark 'hidden_states' as mutable in moe_forward registration. by @bnellnm in https://github.com/vllm-project/vllm/pull/20152
• [Bugfix] Fix some narrowing conversion warnings by @tlrmchlsmth in https://github.com/vllm-project/vllm/pull/20141
• [CI/Build] Allow hermetic builds by @fabiendupont in https://github.com/vllm-project/vllm/pull/18064
• [CI Fix] Pin tests/models/registry.py MiniMaxText01ForCausalLM to revision due to model changes by @mgoin in https://github.com/vllm-project/vllm/pull/20199
• [Misc] Add type assertion of request_id for LLMEngine.add_request by @SHA-4096 in https://github.com/vllm-project/vllm/pull/19700
• Fix num_token_padding support for static per-tensor scaled_fp8_quant by @mgoin in https://github.com/vllm-project/vllm/pull/20188
• fix ci issue distributed 4 gpu test by @yewentao256 in https://github.com/vllm-project/vllm/pull/20204
• [Bugfix] Properly reject requests with empty list guided_choice by @mgoin in https://github.com/vllm-project/vllm/pull/20195
• [BugFix] Fix the incorrect func name in the comments. (config.py) by @1195343015 in https://github.com/vllm-project/vllm/pull/20185
• [CI/Build] Add new CI job to validate Hybrid Models for every PR by @tdoublep in https://github.com/vllm-project/vllm/pull/20147
• [Frontend] Generalize v1/audio/transcriptions endpoint by @NickLucche in https://github.com/vllm-project/vllm/pull/20179
• [Bugfix] Correct behavior of GraniteMoeHybrid for TensorParallel execution by @s3woz in https://github.com/vllm-project/vllm/pull/20137
• [Refactor] Create a function util and cache the results for has_deepgemm, has_deepep, has_pplx by @yewentao256 in https://github.com/vllm-project/vllm/pull/20187
• [CI Fix] Try fixing eagle e2e test OOM by reducing block allocation by @mgoin in https://github.com/vllm-project/vllm/pull/20213
• [Quantization] Add compressed-tensors NVFP4 MoE Support by @dsikka in https://github.com/vllm-project/vllm/pull/19990
• Fix cuda_archs_loose_intersection when handling sm_*a by @huydhn in https://github.com/vllm-project/vllm/pull/20207
• [Model] support dots1 by @redmoe-moutain in https://github.com/vllm-project/vllm/pull/18254
• [BUGFIX][DEEPSEEK][MODEL_LOAD] fix w13, w2 weight not initialized assert by @xuechendi in https://github.com/vllm-project/vllm/pull/20202
• [Misc] Fix import by @WoosukKwon in https://github.com/vllm-project/vllm/pull/20233
• [doc] Add Slack and Forum to the top navigation by @reidliu41 in https://github.com/vllm-project/vllm/pull/20208
• [Bugfix] Skip loading extra parameters for modelopt Qwen3 MoE model by @noiji in https://github.com/vllm-project/vllm/pull/19598
• [Bugfix] Fix processor initialization in transformers 4.53.0 by @Isotr0py in https://github.com/vllm-project/vllm/pull/20244
• [Quantization] Improve BitsAndBytesModelLoader by @jeejeelee in https://github.com/vllm-project/vllm/pull/20242
• [Docs] Fix 1-2-3 list in v1/prefix_caching.md by @windsonsea in https://github.com/vllm-project/vllm/pull/20243
• [Bugfix] fix quark ptpc by @lihaoyang-amd in https://github.com/vllm-project/vllm/pull/20251
• [Spec Decode] Refactor spec decoding into a separate function by @WoosukKwon in https://github.com/vllm-project/vllm/pull/20238
• [Spec Decode] Clean up spec decode example by @WoosukKwon in https://github.com/vllm-project/vllm/pull/20240
• [Optimization] Use Shared CachedRequestData Instance Across All Requests by @WoosukKwon in https://github.com/vllm-project/vllm/pull/20232
• [Unit Test] Add unit test for deep gemm by @yewentao256 in https://github.com/vllm-project/vllm/pull/20090
• [Core] [Bugfix] [Multimodal] Fix multimodal profiling and generation for SFT/PTQed models by @kylesayrs in https://github.com/vllm-project/vllm/pull/20058
• [Refactor] Remove useless pdb comment by @yewentao256 in https://github.com/vllm-project/vllm/pull/20266
• [Bugfix][V1][P/D]Fix the issue of occasional garbled output for P2pNcclConnector by @Abatom in https://github.com/vllm-project/vllm/pull/20263
• [CLI] Improve CLI arg parsing for -O/--compilation-config by @ProExpertProg in https://github.com/vllm-project/vllm/pull/20156
• [Bugfix] Fix include prompt in stream response when echo=true by @fyuan1316 in https://github.com/vllm-project/vllm/pull/15233
• [Misc] Fix spec decode example by @WoosukKwon in https://github.com/vllm-project/vllm/pull/20296
• [Example] add one-click runnable example for P2P NCCL XpYd by @KuntaiDu in https://github.com/vllm-project/vllm/pull/20246
• [CI][Intel Gaudi][vllm-Plugin]Add CI for hpu-plugin-v1-test by @xuechendi in https://github.com/vllm-project/vllm/pull/20196
• [Doc] add config and troubleshooting guide for NCCL & GPUDirect RDMA by @chewong in https://github.com/vllm-project/vllm/pull/15897
• [Feature] A calibration-free RTN-based quantization for accurate and accelerated INT4/INT8 inference by @sakogan in https://github.com/vllm-project/vllm/pull/18768
• [V1] Only print cudagraph tqdm on rank 0 with is_global_first_rank by @mgoin in https://github.com/vllm-project/vllm/pull/19516
• Fix numel() downcast in vllm/csrc/moe/moe_align_sum_kernels.cu +2 by @r-barnes in https://github.com/vllm-project/vllm/pull/17082
• [Misc] add xgrammar for arm64 by @prashantgupta24 in https://github.com/vllm-project/vllm/pull/18359
• Enable ZP Support for Machete by @czhu-cohere in https://github.com/vllm-project/vllm/pull/20268
• [CPU] Update custom ops for the CPU backend by @bigPYJ1151 in https://github.com/vllm-project/vllm/pull/20255
• [Bugfix] Fix deepep tests by @varun-sundar-rabindranath in https://github.com/vllm-project/vllm/pull/20288
• [Misc] remove redundant char by @kebe7jun in https://github.com/vllm-project/vllm/pull/20287
• [BugFix][V1][ROCm] Triton MLA uses V0 backend on V1 engine by @tywuAMD in https://github.com/vllm-project/vllm/pull/19067
• [doc] fix the incorrect logo in dark mode by @reidliu41 in https://github.com/vllm-project/vllm/pull/20289
• [Perf] Validate @config in pre-commit instead of dynamically by @lionelvillard in https://github.com/vllm-project/vllm/pull/20200
• [Quant] [Bugfix] Fix quantization config matching with hf_to_vllm_mapper by @kylesayrs in https://github.com/vllm-project/vllm/pull/20046
• [Misc] Minor refactor of NIXL background handshake by @NickLucche in https://github.com/vllm-project/vllm/pull/20068
• Add GLM4.1V model (Draft) by @zRzRzRzRzRzRzR in https://github.com/vllm-project/vllm/pull/19331
• [Model]Add Tencent HunYuanMoEV1 Model Support by @aiyiwang2025 in https://github.com/vllm-project/vllm/pull/20114
• [Misc] Minor refactoring for scheduler by @WoosukKwon in https://github.com/vllm-project/vllm/pull/20299
• [Docs] Update transcriptions API to use openai client with stream=True by @NickLucche in https://github.com/vllm-project/vllm/pull/20271
• [CUDA graphs] Enable full cuda graphs with FA3 AoT scheduling by @WoosukKwon in https://github.com/vllm-project/vllm/pull/20301
• [Frontend] Expand tools even if tool_choice="none" by @okdshin in https://github.com/vllm-project/vllm/pull/17177
• [V1] [ROCm] Enable EP with AITER Fused MoE by @tjtanaa in https://github.com/vllm-project/vllm/pull/20270
• [Optimization] Cache sampled token ids in model runner by @WoosukKwon in https://github.com/vllm-project/vllm/pull/20291
• remove unused variables in marlin_template.h by @zhoutianzi666 in https://github.com/vllm-project/vllm/pull/20236
• [Refactor] Refactor import utils by @yewentao256 in https://github.com/vllm-project/vllm/pull/20269
• Enable group size 64 for Machete by @czhu-cohere in https://github.com/vllm-project/vllm/pull/20290
• [Kernel][Bugfix] Fixup some warnings in nvfp4_blockwise_moe when CUDA < 12.8 by @tlrmchlsmth in https://github.com/vllm-project/vllm/pull/20324
• [UT][intel GPU] use current_platform instead of device hardcode in v1 tests by @Liangliang-Ma in https://github.com/vllm-project/vllm/pull/20169
• [Refactor] Remove duplicate find_free_port by @yewentao256 in https://github.com/vllm-project/vllm/pull/20333
• [Refactor] Remove Unused Env VLLM_ENABLE_MOE_ALIGN_BLOCK_SIZE_TRITON by @yewentao256 in https://github.com/vllm-project/vllm/pull/20334
• [Misc][Doc] Add missing comment for LLM by @draftbk in https://github.com/vllm-project/vllm/pull/20285
• [FIX][Intel GPU]fix ipex flash_attn_varlen_func api missing parameter by @jikunshang in https://github.com/vllm-project/vllm/pull/20348
• [Bugfix] Fix dynamic rotary embedding by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/20343
• fix[Docs]: link anchor is incorrect [#20309] by @yyzxw in https://github.com/vllm-project/vllm/pull/20315
• [Doc][TPU] Add models and features supporting matrix. by @QiliangCui in https://github.com/vllm-project/vllm/pull/20230
• [TPU] kv cache update kernel supports dynamic grid by @yaochengji in https://github.com/vllm-project/vllm/pull/20235
• [Frontend] Support configurable mm placeholder strings & flexible video sampling policies via CLI flags. by @huachenheli in https://github.com/vllm-project/vllm/pull/20105
• [Model][VLM] Support Keye-VL-8B-Preview by @Kwai-Keye in https://github.com/vllm-project/vllm/pull/20126
• [Bugfix] Keye-VL compatibility with tok_kwargs (#20058) by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/20353
• [Docs] Fix indentations for 2-level items in deprecation_policy.md by @windsonsea in https://github.com/vllm-project/vllm/pull/20352
• [Docs] Make TPU ref prettier in google_tpu.md by @windsonsea in https://github.com/vllm-project/vllm/pull/20356
• [Model] Add Ernie4.5 and Ernie4.5MoE Model Support by @CSWYF3634076 in https://github.com/vllm-project/vllm/pull/20220
• [Build/CI] Automatically tag DeepSeek related PRs by @houseroad in https://github.com/vllm-project/vllm/pull/20370
• [NVIDIA] Support Cutlass w8a8 FP8 for Blackwell Geforce GPUs (sm120) by @kaln27 in https://github.com/vllm-project/vllm/pull/17280
• [Bugfix] Fix the max_seq_len limit of 16384 for DeepSeek models by @huaqiangwang in https://github.com/vllm-project/vllm/pull/20322
• [Model] Adds support for SlimMoE models Phi-tiny-MoE-instruct by @zichongli5 in https://github.com/vllm-project/vllm/pull/20286
• Documentation update tool_calling: mapping back to function from response by @cronoik-inceptionai in https://github.com/vllm-project/vllm/pull/20373
• [Kernels] MoE refactor by @bnellnm in https://github.com/vllm-project/vllm/pull/19636
• [V1] LogitsProcessor programming model by @afeldman-nm in https://github.com/vllm-project/vllm/pull/16728
• [Minor] Clean up incorrect comment in test by @njhill in https://github.com/vllm-project/vllm/pull/20382
• [Misc] add handler HF_TOKEN is emptry string by @lengrongfu in https://github.com/vllm-project/vllm/pull/20369
• [ROCm][FEAT] Enable Full Graph Mode in AITER MLA V1 Attn Backend (Decode Phase only) by @vllmellm in https://github.com/vllm-project/vllm/pull/20254
• [DP] Support external DP Load Balancer mode by @njhill in https://github.com/vllm-project/vllm/pull/19790
• [Docs] Update EAGLE example by @NickLucche in https://github.com/vllm-project/vllm/pull/20375
• [Bugfix] Fixes for FlashInfer's TORCH_CUDA_ARCH_LIST by @tlrmchlsmth in https://github.com/vllm-project/vllm/pull/20136
• [BugFix] Fix DP headless mode arg validation by @njhill in https://github.com/vllm-project/vllm/pull/20398
• Enable CPU nightly performance benchmark and its Markdown report by @louie-tsai in https://github.com/vllm-project/vllm/pull/18444
• [Bugfix] Fix import of CutlassExpertsFp8 in compressed_tensors_moe.py by @bnellnm in https://github.com/vllm-project/vllm/pull/20381
• [Misc] Small: Fix video loader return type annotations. by @huachenheli in https://github.com/vllm-project/vllm/pull/20389
• [Bugfix][CI/CD][CPU] Fix CPU CI tests by @bigPYJ1151 in https://github.com/vllm-project/vllm/pull/20383
• [TPU] Add a case to cover RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8 by @QiliangCui in https://github.com/vllm-project/vllm/pull/20385
• [Feature] Support MiniMax-M1 function calls features by @qscqesze in https://github.com/vllm-project/vllm/pull/20297
• [Tests] Update online DP tests to verify that requests are balanced by @njhill in https://github.com/vllm-project/vllm/pull/20157
• [Misc] Add rules to label Speculative Decoding Related PRs by @draftbk in https://github.com/vllm-project/vllm/pull/20406
• [doc] fix link by @reidliu41 in https://github.com/vllm-project/vllm/pull/20417
• [Docs] Replace two list with tables in intel_gaudi.md by @windsonsea in https://github.com/vllm-project/vllm/pull/20414
• [Core] Move multimodal placeholder from chat utils to model definition by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/20355
• [Kernel] refactor cpu worker v0 cache dtype by @andyxning in https://github.com/vllm-project/vllm/pull/20080
• [CI/Build][CPU] Enable cross compilation in CPU release pipeline by @bigPYJ1151 in https://github.com/vllm-project/vllm/pull/20423
• [Quantization] Bump to use latest bitsandbytes by @jeejeelee in https://github.com/vllm-project/vllm/pull/20424
• [Model][2/N] Automatic conversion of CrossEncoding model by @noooop in https://github.com/vllm-project/vllm/pull/19978
• [Misc] Automatically tag PRs to add new models by @Isotr0py in https://github.com/vllm-project/vllm/pull/20222
• [Frontend] improve vllm bench <bench_type> --help display by @reidliu41 in https://github.com/vllm-project/vllm/pull/20430
• [Bugfix] Fix flaky test_streaming_response test by @NickLucche in https://github.com/vllm-project/vllm/pull/20363
• [Frontend] fix duplicate output for bench subcmd by @reidliu41 in https://github.com/vllm-project/vllm/pull/20446
• [CI] Trimming some failing test groups from AMDPRODUCTION. by @Alexei-V-Ivanov-AMD in https://github.com/vllm-project/vllm/pull/20390
• [Misc] Clean up InternVL family config registration by @Isotr0py in https://github.com/vllm-project/vllm/pull/19992
• [Misc] adjust for ipv6 for mookcacke url parse by @andyxning in https://github.com/vllm-project/vllm/pull/20107
• [Misc] Remove _maybe_ignore_quant_config from GLM4.1v by @zRzRzRzRzRzRzR in https://github.com/vllm-project/vllm/pull/20432
• [Kernel] Enable fp8 support for pplx and BatchedTritonExperts. by @bnellnm in https://github.com/vllm-project/vllm/pull/18864
• [Misc] Fix Unable to detect current VLLM config. Defaulting to NHD kv cache layout warning by @NickLucche in https://github.com/vllm-project/vllm/pull/20400
• [Bugfix] Register reducer even if transformers_modules not available by @eicherseiji in https://github.com/vllm-project/vllm/pull/19510
• Change warn_for_unimplemented_methods to debug by @mgoin in https://github.com/vllm-project/vllm/pull/20455
• [Platform] Add custom default max tokens by @gmarinho2 in https://github.com/vllm-project/vllm/pull/18557
• Add ignore consolidated file in mistral example code by @princepride in https://github.com/vllm-project/vllm/pull/20420
• [Misc] small update by @reidliu41 in https://github.com/vllm-project/vllm/pull/20462
• [Structured Outputs][V1] Skipping with models doesn't contain tokenizers by @aarnphm in https://github.com/vllm-project/vllm/pull/20365
• [Perf] Optimize Vectorization Utils for Int 8 Quantization Kernels by @yewentao256 in https://github.com/vllm-project/vllm/pull/20331
• [Misc] Add SPDX-FileCopyrightText by @jeejeelee in https://github.com/vllm-project/vllm/pull/20428
• Support Llama 4 for fused_marlin_moe by @mgoin in https://github.com/vllm-project/vllm/pull/20457
• [Bug][Frontend] Fix structure of transcription's decoder_prompt by @sangbumlikeagod in https://github.com/vllm-project/vllm/pull/18809
• [Model][3/N] Automatic conversion of CrossEncoding model by @noooop in https://github.com/vllm-project/vllm/pull/20168
• [Doc] Fix classification table in list of supported models by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/20489
• [CI] add kvcache-connector dependency definition and add into CI build by @panpan0000 in https://github.com/vllm-project/vllm/pull/18193
• [Misc] Small: Remove global media connector. Each test should have its own test connector object. by @huachenheli in https://github.com/vllm-project/vllm/pull/20395
• Enable V1 for Hybrid SSM/Attention Models by @tdoublep in https://github.com/vllm-project/vllm/pull/20016
• [feat]: CUTLASS block scaled group gemm for SM100 by @djmmoss in https://github.com/vllm-project/vllm/pull/19757
• [CI Bugfix] Fix pre-commit failures on main by @mgoin in https://github.com/vllm-project/vllm/pull/20502
• [Doc] fix mutltimodal_inputs.md gh examples link by @GuyStone in https://github.com/vllm-project/vllm/pull/20497
• [Misc] Add security warning for development mode endpoints by @reidliu41 in https://github.com/vllm-project/vllm/pull/20508
• [doc] small fix by @reidliu41 in https://github.com/vllm-project/vllm/pull/20506
• [Misc] Remove the unused LoRA test code by @jeejeelee in https://github.com/vllm-project/vllm/pull/20494
• Fix unknown attribute of topk_indices_dtype in CompressedTensorsW8A8Fp8MoECutlassMethod by @luccafong in https://github.com/vllm-project/vllm/pull/20507
• [v1] Re-add fp32 support to v1 engine through FlexAttention by @Isotr0py in https://github.com/vllm-project/vllm/pull/19754
• [Misc] Add logger.exception for TPU information collection failures by @reidliu41 in https://github.com/vllm-project/vllm/pull/20510
• [Misc] remove unused import by @reidliu41 in https://github.com/vllm-project/vllm/pull/20517
• test_attention compat with coming xformers change by @bottler in https://github.com/vllm-project/vllm/pull/20487
• [BUG] Fix [#20484]. Support empty sequence in cuda penalty kernel by @vadiklyutiy in https://github.com/vllm-project/vllm/pull/20491
• [Bugfix] Fix missing per_act_token parameter in compressed_tensors_moe by @luccafong in https://github.com/vllm-project/vllm/pull/20509
• [BugFix] Fix: ImportError when building on hopper systems by @LucasWilkinson in https://github.com/vllm-project/vllm/pull/20513
• [TPU][Bugfix] fix the MoE OOM issue by @yaochengji in https://github.com/vllm-project/vllm/pull/20339
• [Frontend] Support image object in llm.chat by @sfeng33 in https://github.com/vllm-project/vllm/pull/19635
• [Benchmark] Add support for multiple batch size benchmark through CLI in benchmark_moe.py + Add Triton Fused MoE kernel config for FP8 E=16 on B200 by @b8zhong in https://github.com/vllm-project/vllm/pull/20516
• [Misc] call the pre-defined func by @reidliu41 in https://github.com/vllm-project/vllm/pull/20518
• [V0 deprecation] Remove V0 CPU/XPU/TPU backends by @WoosukKwon in https://github.com/vllm-project/vllm/pull/20412
• [V1] Support any head size for FlexAttention backend by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/20467
• [BugFix][Spec Decode] Fix spec token ids in model runner by @WoosukKwon in https://github.com/vllm-project/vllm/pull/20530
• [Bugfix] Add use_cross_encoder flag to use correct activation in ClassifierPooler by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/20527

New Contributors

• @py-andy-c made their first contribution in https://github.com/vllm-project/vllm/pull/19399
• @2niuhe made their first contribution in https://github.com/vllm-project/vllm/pull/19394
• @leopardracer made their first contribution in https://github.com/vllm-project/vllm/pull/19442
• @artetaout made their first contribution in https://github.com/vllm-project/vllm/pull/19085
• @runzhen made their first contribution in https://github.com/vllm-project/vllm/pull/19453
• @strutive07 made their first contribution in https://github.com/vllm-project/vllm/pull/19522
• @yewentao256 made their first contribution in https://github.com/vllm-project/vllm/pull/19233
• @mobicham made their first contribution in https://github.com/vllm-project/vllm/pull/19265
• @kouroshHakha made their first contribution in https://github.com/vllm-project/vllm/pull/19378
• @BoyuanFeng made their first contribution in https://github.com/vllm-project/vllm/pull/19587
• @sahelib25 made their first contribution in https://github.com/vllm-project/vllm/pull/18354
• @jiahanc made their first contribution in https://github.com/vllm-project/vllm/pull/19500
• @quanliu1991 made their first contribution in https://github.com/vllm-project/vllm/pull/18957
• @f14-bertolotti made their first contribution in https://github.com/vllm-project/vllm/pull/19564
• @Navanit-git made their first contribution in https://github.com/vllm-project/vllm/pull/19557
• @nguyenhoangthuan99 made their first contribution in https://github.com/vllm-project/vllm/pull/19597
• @diliu0349 made their first contribution in https://github.com/vllm-project/vllm/pull/19600
• @Zzz9990 made their first contribution in https://github.com/vllm-project/vllm/pull/18596
• @yhtang made their first contribution in https://github.com/vllm-project/vllm/pull/19788
• @zsolt-borbely-htec made their first contribution in https://github.com/vllm-project/vllm/pull/19803
• @zuxin666 made their first contribution in https://github.com/vllm-project/vllm/pull/17148
• @NekoMimiUnagi made their first contribution in https://github.com/vllm-project/vllm/pull/19301
• @xzbdmw made their first contribution in https://github.com/vllm-project/vllm/pull/19735
• @Xerxes-cn made their first contribution in https://github.com/vllm-project/vllm/pull/19860
• @nie3e made their first contribution in https://github.com/vllm-project/vllm/pull/19663
• @vladmihailescu made their first contribution in https://github.com/vllm-project/vllm/pull/18777
• @rabinadk1 made their first contribution in https://github.com/vllm-project/vllm/pull/19910
• @amitm02 made their first contribution in https://github.com/vllm-project/vllm/pull/19057
• @jinqinn made their first contribution in https://github.com/vllm-project/vllm/pull/19544
• @Flink-ddd made their first contribution in https://github.com/vllm-project/vllm/pull/19643
• @Jun-Howie made their first contribution in https://github.com/vllm-project/vllm/pull/19395
• @seemethere made their first contribution in https://github.com/vllm-project/vllm/pull/20032
• @h-avsha made their first contribution in https://github.com/vllm-project/vllm/pull/19984
• @max-wittig made their first contribution in https://github.com/vllm-project/vllm/pull/19695
• @lsz05 made their first contribution in https://github.com/vllm-project/vllm/pull/20067
• @kyolebu made their first contribution in https://github.com/vllm-project/vllm/pull/20135
• @lihaoyang-amd made their first contribution in https://github.com/vllm-project/vllm/pull/19744
• @Yazan-Sharaya made their first contribution in https://github.com/vllm-project/vllm/pull/19946
• @ilyal-cerebras made their first contribution in https://github.com/vllm-project/vllm/pull/20065
• @fabiendupont made their first contribution in https://github.com/vllm-project/vllm/pull/18064
• @SHA-4096 made their first contribution in https://github.com/vllm-project/vllm/pull/19700
• @1195343015 made their first contribution in https://github.com/vllm-project/vllm/pull/20185
• @redmoe-moutain made their first contribution in https://github.com/vllm-project/vllm/pull/18254
• @noiji made their first contribution in https://github.com/vllm-project/vllm/pull/19598
• @chewong made their first contribution in https://github.com/vllm-project/vllm/pull/15897
• @sakogan made their first contribution in https://github.com/vllm-project/vllm/pull/18768
• @czhu-cohere made their first contribution in https://github.com/vllm-project/vllm/pull/20268
• @aiyiwang2025 made their first contribution in https://github.com/vllm-project/vllm/pull/20114
• @okdshin made their first contribution in https://github.com/vllm-project/vllm/pull/17177
• @zhoutianzi666 made their first contribution in https://github.com/vllm-project/vllm/pull/20236
• @yyzxw made their first contribution in https://github.com/vllm-project/vllm/pull/20315
• @Kwai-Keye made their first contribution in https://github.com/vllm-project/vllm/pull/20126
• @CSWYF3634076 made their first contribution in https://github.com/vllm-project/vllm/pull/20220
• @kaln27 made their first contribution in https://github.com/vllm-project/vllm/pull/17280
• @huaqiangwang made their first contribution in https://github.com/vllm-project/vllm/pull/20322
• @zichongli5 made their first contribution in https://github.com/vllm-project/vllm/pull/20286
• @cronoik-inceptionai made their first contribution in https://github.com/vllm-project/vllm/pull/20373
• @sangbumlikeagod made their first contribution in https://github.com/vllm-project/vllm/pull/18809
• @djmmoss made their first contribution in https://github.com/vllm-project/vllm/pull/19757
• @GuyStone made their first contribution in https://github.com/vllm-project/vllm/pull/20497
• @bottler made their first contribution in https://github.com/vllm-project/vllm/pull/20487

Full Changelog: https://github.com/vllm-project/vllm/compare/v0.9.1...v0.9.2