hsliu_ustc
c88408d825
Announce the v0.30.0 release in the README news section (unified full-duplex framework, cross-stage KV/multimodal transfer, LingBot World interactive serving, MiniMax H3 Turbo on Blackwell/Ascend 950) and refresh the supported-model examples (Tencent AuK, Breeze-TTS-2, LingBot World, MAGI-2, pi0.5; drop removed dots.tts-era examples). Point the pre-built wheel and image instructions at the published 0.30.0 artifacts (PyPI wheel verified; ROCm 0.30.0/rocm723 wheel index verified), update the vLLM configuration and environment-variable references from 0.29 to 0.30, and move the NPU source-clone tag from v0.30.0rc1 to the final v0.30.0 release. Signed-off-by: hsliu_ustc <hsliu_ustc@noreply.gitcode.com>
2.8 KiB
GPU
vLLM-Omni is a Python library that supports the following GPU variants. The library itself mainly contains python implementations for framework and models.
Requirements
- OS: Linux
- Python: 3.12
!!! note vLLM-Omni is currently not natively supported on Windows.
=== "NVIDIA CUDA"
--8<-- "docs/getting_started/installation/gpu/cuda.inc.md:requirements"
=== "AMD ROCm"
--8<-- "docs/getting_started/installation/gpu/rocm.inc.md:requirements"
=== "Intel XPU"
--8<-- "docs/getting_started/installation/gpu/xpu.inc.md:requirements"
=== "MThreads MUSA"
--8<-- "docs/getting_started/installation/gpu/musa.inc.md:requirements"
Set up using Python
Create a new Python environment
--8<-- "docs/getting_started/installation/python_env_setup.inc.md"
Pre-built wheels
Note: Pre-built wheels are currently available for vLLM-Omni 0.11.0rc1, 0.12.0rc1, 0.14.0rc1, 0.14.0, 0.16.0, 0.18.0, 0.20.0, 0.21.0, 0.22.0, 0.23.0, 0.24.0, 0.25.0, 0.26.0, 0.28.0, and 0.30.0. If you need a newer unreleased revision, please build from source.
=== "NVIDIA CUDA"
--8<-- "docs/getting_started/installation/gpu/cuda.inc.md:pre-built-wheels"
=== "AMD ROCm"
--8<-- "docs/getting_started/installation/gpu/rocm.inc.md:pre-built-wheels"
=== "Intel XPU"
--8<-- "docs/getting_started/installation/gpu/xpu.inc.md:pre-built-wheels"
=== "MThreads MUSA"
--8<-- "docs/getting_started/installation/gpu/musa.inc.md:pre-built-wheels"
Build wheel from source
=== "NVIDIA CUDA"
--8<-- "docs/getting_started/installation/gpu/cuda.inc.md:build-wheel-from-source"
=== "AMD ROCm"
--8<-- "docs/getting_started/installation/gpu/rocm.inc.md:build-wheel-from-source"
=== "Intel XPU"
--8<-- "docs/getting_started/installation/gpu/xpu.inc.md:build-wheel-from-source"
=== "MThreads MUSA"
--8<-- "docs/getting_started/installation/gpu/musa.inc.md:build-wheel-from-source"
Set up using Docker
Pre-built images
=== "NVIDIA CUDA"
--8<-- "docs/getting_started/installation/gpu/cuda.inc.md:pre-built-images"
=== "AMD ROCm"
--8<-- "docs/getting_started/installation/gpu/rocm.inc.md:pre-built-images"
=== "Intel XPU"
--8<-- "docs/getting_started/installation/gpu/xpu.inc.md:pre-built-images"
=== "MThreads MUSA"
--8<-- "docs/getting_started/installation/gpu/musa.inc.md:pre-built-images"
Build your own docker image
=== "NVIDIA CUDA"
--8<-- "docs/getting_started/installation/gpu/cuda.inc.md:build-docker"
=== "AMD ROCm"
--8<-- "docs/getting_started/installation/gpu/rocm.inc.md:build-docker"
=== "Intel XPU"
--8<-- "docs/getting_started/installation/gpu/xpu.inc.md:build-docker"
=== "MThreads MUSA"
--8<-- "docs/getting_started/installation/gpu/musa.inc.md:build-docker"