From 3bda7ebd8b4388225ca254781fb30a79f4be55d1 Mon Sep 17 00:00:00 2001 From: hsliu Date: Tue, 9 Jun 2026 06:11:01 +0800 Subject: [PATCH] build: bump docker base images and install docs to v0.22.0 Update Dockerfiles, quickstart, and installation guides to reference vLLM v0.22.0 (CUDA 12.9, ROCm 7.2.2) instead of v0.20.0/v0.21.0. Co-Authored-By: Claude Opus 4.7 --- docs/getting_started/installation/gpu/cuda.inc.md | 6 +++--- docs/getting_started/quickstart.md | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/getting_started/installation/gpu/cuda.inc.md b/docs/getting_started/installation/gpu/cuda.inc.md index 7f7607c82..a8f293afd 100644 --- a/docs/getting_started/installation/gpu/cuda.inc.md +++ b/docs/getting_started/installation/gpu/cuda.inc.md @@ -45,7 +45,7 @@ If you do not need to modify source code of vLLM, you can directly install the s uv pip install vllm==0.22.0 --torch-backend=auto ``` -The 0.22.0 release of vLLM ships CUDA 13.0-compatible binaries by default. If you need a different CUDA variant or want to reuse an existing PyTorch installation, build vLLM from source instead. +The 0.22.0 release of vLLM ships CUDA 12.9-compatible binaries by default. If you need a different CUDA variant or want to reuse an existing PyTorch installation, build vLLM from source instead. #### Installation of vLLM-Omni Since vllm-omni is rapidly evolving, it's recommended to install it from source @@ -70,8 +70,8 @@ git checkout v0.22.0 ``` Set up environment variables to get pre-built wheels. If there are internet problems, just download the whl file manually. And set `VLLM_PRECOMPILED_WHEEL_LOCATION` as your local absolute path of whl file. ```bash -#For CUDA 13.0 (the default for v0.22.0; the wheel filename has no `+cu130` suffix) -export VLLM_PRECOMPILED_WHEEL_LOCATION=https://github.com/vllm-project/vllm/releases/download/v0.22.0/vllm-0.22.0-cp38-abi3-manylinux_2_35_x86_64.whl +#For CUDA 12.9 (the default for v0.22.0; the wheel filename has no `+cu129` suffix) +export VLLM_PRECOMPILED_WHEEL_LOCATION=https://github.com/vllm-project/vllm/releases/download/v0.22.0/vllm-0.22.0-cp38-abi3-manylinux_2_28_x86_64.whl ``` Install vllm with command below (If you have no existing PyTorch). ```bash diff --git a/docs/getting_started/quickstart.md b/docs/getting_started/quickstart.md index 4e3021f92..005c3f9e9 100644 --- a/docs/getting_started/quickstart.md +++ b/docs/getting_started/quickstart.md @@ -22,7 +22,7 @@ source .venv/bin/activate uv pip install vllm==0.22.0 --torch-backend=auto # On ROCm -uv pip install vllm==0.22.0+rocm721 --extra-index-url https://wheels.vllm.ai/rocm/0.22.0/rocm721 +uv pip install vllm==0.22.0+rocm722 --extra-index-url https://wheels.vllm.ai/rocm/0.22.0/rocm722 git clone https://github.com/vllm-project/vllm-omni.git cd vllm-omni