vllm 0.22.1

v0.22.1

on Python PyPI

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 Support

• New model: JetBrains' Mellum v2, an open-weights Mixture-of-Experts code-generation model (#43992).
• DeepSeek-V4: resolve a CUTLASS fmin compatibility issue that broke initialization (0decac0).
• Fix OlmoHybridForCausalLM failing to initialise after the checkpoint changed rope_parameters from None to {"rope_type": None} (#43846).
• Fix HyperCLOVAX loading after the upstream HuggingFace repo removed its remote code (now native in transformers >= 5.9.0): register the hyperclovax model_type so vLLM uses its vendored config instead of the stale auto_map (#43860).

Hardware & Performance

• AMD Zen CPUs: route W8A8 (int8 dynamic-symmetric) and W4A16 (GPTQ) linear inference through zentorch kernels, registered ahead of the generic oneDNN CPU kernels, with transparent fallback on non-Zen CPUs, GPUs, and XPU (#41813).

Large Scale Serving

• Fix a deterministic hang in multi-node Ray data-parallel serving with num_api_servers > 1 by excluding the Ray DP backend from the deferred (kernel-assigned) port allocation introduced in #42585 (#43864).

Build & CI

• Docker: stop installing flashinfer-jit-cache via --extra-index-url while it is quarantined on PyPI, fixing image builds (#44366).
• Normalize NIXL KV-connector wheel installs so only the wheel matching the image's CUDA major is kept, fixing ImportError: libcudart.so.12 when importing nixl_ep on CUDA 13 images (#44266).

Contributors

@khluu, @vadiklyutiy, @aadwived, @shadeMe, @alec-flowers, @hmellor

New Contributors

• @aadwived made their first contribution in #41813