vLLM 发布: v0.22.1

来源摘要

## 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 (0decac0d). * 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: libcuda