Bump vllm[audio] from 0.13.0 to 0.16.0

[dependabot]

Bumps vllm[audio] from 0.13.0 to 0.16.0.

Release notes

Sourced from vllm[audio]'s releases.

v0.16.0

vLLM v0.16.0

Please note that this release was branch cut on Feb 8, so any features added to vLLM after that date is not included.

Highlights

This release features 440 commits from 203 contributors (7 new)!

• Async scheduling + Pipeline Parallelism is now fully supported, delivering 30.8% E2E throughput improvement and 31.8% TPOT improvement (#32618).
• Realtime API: A new WebSocket-based Realtime API enables streaming audio interactions (#33187), building on the Voxtral realtime infrastructure.
• RLHF workflow improvements: Native NCCL-based weight syncing API (#31943), layerwise weight reloading for QeRL (#32133), and engine pause/resume with request preservation (#32351).
• Unified Parallel Drafting for speculative decoding (#32887), plus spec decode now works with structured outputs (#33374) and penalty application in Model Runner V2 (#33251).
• Major XPU platform overhaul: Deprecated IPEX in favor of vllm-xpu-kernels (#33379), adding MoE (#33659), MXFP4 MoE (#33679), WNA16 (#33973), scaled_mm (#34117), and FP8 MoE (#34202) support.

Model Support

• New architectures: GLM-OCR with MTP (#33005), Qwen3-ASR (#33312), DeepSeek-OCR-2 (#33165), Intern-S1-Pro (#33636), MiniCPM-o 4.5 (#33431), openPangu7B-VL (#32449), NemotronHPuzzle heterogeneous (#32549), MusicFlamingo (#32696), FunAudioChat (#2), ColBERT late interaction (#33686), voyage-4-nano (#33720), GLM-5 (#34124).
• Speculative decoding: EAGLE3 for Hunyuan/HunyuanVL (#33035), AFMoE (#33111), Mistral3 (#33939).
• LoRA expansion: Gemma3 vision components (#32764), Nemotron-H MTP models (#32265), Qwen3 output embedding (#29816). Optimized fused MoE-LoRA kernel indexing (#32770, #32774), unpermute-aware fused MoE LoRA path (#32655), reduced kernel overhead for fewer active LoRAs with multiple CUDA graphs (#32005).
• Features: Qwen3-Omni transcription (#29828), Mistral Large 3 with FlashInfer MoE (#33174), LFM2 SigLIP2 intermediate encoder layers (#33370), Qwen3-Omni/GLM-4.xV MRoPE positioning fixes (#33010, #33039), embedding input for disabled modalities (#32493).
• Performance: GLM-4.7-GPTQ decode and MTP acceptance rate regression fix (#33771), DeepSeek V3.2 fast detokenization (#33855), DeepSeek V3.2 tokenizer fix (#33832), GLM-5 MTP accuracy fix (#34385).

Engine Core

• Async scheduling + Pipeline Parallelism: Full support with 30.8% throughput improvement (#32618), optimized spec decode + async scheduling with 1.5% throughput improvement (#33612), deadlock fix for torchrun PP broadcast (#33701).
• Speculative decoding: Unified Parallel Drafting (#32887), structured output support (#33374), penalty application in MRV2 (#33251), skip softmax for all-greedy rejection sampling (#32852), correctness fix for spec tokens with prefill chunks (#33652).
• RLHF: Native NCCL weight syncing API (#31943), layerwise reloading for QeRL (#32133), engine pause/resume with request preservation (#32351).
• Helion kernel framework: ConfigManager (#32740), kernel wrapper (#32964), kernel registry (#33203).
• PluggableLayer: Applied to linear layers (#33152) and Mamba layers (#33660).
• Batch invariance: Disable Cascade Attention (#32561), enable Triton attention (#33688).
• Performance: Grammar bitmask H2D copy on separate stream (#33059), zero-copy GQA for multimodal and CPU (#33732), early-reject oversized MM requests (#33502), CPU memory leak fix from Request reference cycle in prefix caching (#34183).

Hardware & Performance

• NVIDIA: FlashInfer TRTLLM BF16 MoE integration (#32954), SM100 INT4 W4A16 kernel (#32437), SM121 (DGX Spark) CUTLASS support (#33517), MNNVL protocol for GB series (#33540), FlashInfer MLA concat optimization (#31171), GDN attention layout optimization (#33291), DeepGEMM FP8 MLA performance (#33568), wvSplitK_fp8 performance (#33527, #33493), B200 MoE configs for Nemotron Nano (#32804), Super B200 TP2 (#33510), GLM 4.6 (#32958), Mamba selective scan tuning for B200 (#32873). Fix: DeepSeek R1 CUTLASS MLA on B200 (#33637), QK Norm+RoPE fusion on B200+FP8 (#33967), CUTLASS FP8 blockwise on SM103a (#32224).
• AMD ROCm: QWEN3-NEXT FP8 tunings (#32042), AITER attention backend for Qwen3-Next (#32492), fused_add_rmsnorm_pad for GPT-OSS (#30976), Qwen3-Omni startup fix (#33077).
• Intel XPU: Platform overhaul - deprecated IPEX, switched to vllm-xpu-kernels (#33379). New: unquantized MoE (#33659), MXFP4 MoE (#33679), WNA16 kernel (#33973), scaled_mm kernel (#34117), FP8 MoE (#34202).
• ARM CPU: KleidiAI INT4 dynamic quant with BF16 activations (#33122), NEON BFMMLA BF16 paged attention (#32263), vectorization backend optimization (#30329), attention dispatch by head_dim alignment (#32161).
• IBM Z: BF16 kernel type for s390x (#33788).
• torch.compile: Stop compiling identical artifacts (#34003), MoE cold start optimization option (#33735), fix 32-bit indexing assumption (#33113), attention fusion pass fix (#33945).
• Performance: Chat completion streaming optimization (#33782), ORJSONResponse for faster API responses (#33548), MoE permute optimization for CUTLASS FP8 (#32892), shared/routed overlap for latent MoE on Nemotron-H (#32790), FlashInfer autotune control flag (#34006).

Large Scale Serving

• Disaggregated serving: Mooncake connector rework with bootstrap server (#31034), cross-layer KV cache layout at NIXL Connector V2 (#33339), delay freeing blocks for aborted async loads (#32255), async double-free fix (#33377), Ray multi-replica single-instance fix (#33604).
• EPLB: Capture logical experts with router replay (#33013), DP metadata fix for dense models (#32739).
• Metrics: KV offloading connector metrics (#27942), labeled prompt token metrics for P/D disaggregation (#33290).

Quantization

• New: FP8 block quant for CompressedTensorsW8A16Fp8 (#33280), ModelOpt MXFP8 for dense models (#33786), NVFP4/FP8 on Turing GPUs (#33076), TP > 4 for FP4 Gemm (#31099).
• Bugfixes: FP8 online quantization memory fix (#31914), asymmetric W4A16 (ConchLinear) for CT (#33200), DeepSeek V3.2 NVFP4 (#33932), LoRA FP8 (#33879), quantized Falcon-H1 model loading (#32728), quantized Mamba TP with n_groups=1 (#33257), CPU W8A8 with bias (#33582), CPU W8A8 3D input support (#33727).
• Deprecation: Removed BitBlas (#32683) and Marlin 24 (#32688).

API & Frontend

... (truncated)

Commits

• 89a77b1 [ROCm][CI] Pin TorchCodec to v0.10.0 for ROCm compatibility (#34447)
• d3c1513 [ci] Use the right tag for CPU arm64 image (#34915)
• 5dbfbc9 [CI/Build] Fix gRPC version mismatch (#35013)
• c86cdcb Revert "[Release 2.10] Update to Torch 2.10 - final release (#30525)"
• 3c9496f Revert "[Bugfix][ROCm][GPT-OSS] Use old triton_kernels implementation on ROCm...
• 2d5be1d release script
• 7a06e5b [Bugfix] Fix MTP accuracy for GLM-5 (#34385)
• 946b2f1 [Bugfix] send None sentinel on final commit so server properly sends transcri...
• 5e8adb0 [Misc] Bump fastsafetensors version for latest fixes (#34273)
• 9be1ff2 [Bugfix] fix default is_neox_style is True for deepseek (#34353)
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

[dependabot]

Labels

The following labels could not be found: dependencies, python. Please create them before Dependabot can add them to a pull request.

Please fix the above issues or remove invalid values from dependabot.yml.

[CLAassistant]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.
_{You have signed the CLA already but the status is still pending? Let us recheck it.}

[dependabot]

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.