2.6 KiB
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vLLM-Omni mainly contains python implementations for framework and models.
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- GPU: compute capability 7.0 or higher (e.g., V100, T4, RTX20xx, A100, L4, H100, etc.)
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vLLM-Omni depends vLLM. So please follow instructions below mainly for vLLM.
!!! note
PyTorch installed via conda will statically link NCCL library, which can cause issues when vLLM tries to use NCCL. See gh-issue:8420 for more details.
In order to be performant, vLLM has to compile many cuda kernels. The compilation unfortunately introduces binary incompatibility with other CUDA versions and PyTorch versions, even for the same PyTorch version with different building configurations.
Therefore, it is recommended to install vLLM and vLLM-Omni with a fresh new environment. If either you have a different CUDA version or you want to use an existing PyTorch installation, you need to build vLLM from source. See build-from-source-vllm for more details.
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Installation of vLLM
Now we build it based on vLLM v0.11.0. Please install it with command below.
uv pip install vllm==0.11.0 --torch-backend=auto
Installation of vLLM-Omni
uv pip install vllm-omni
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Installation of vLLM
If you want to check or debug with source code of vLLM, install stable release version of vllm with 0.11.0 from source with pre-built wheel file.
git clone https://github.com/vllm-project/vllm.git
cd vllm
git checkout v0.11.0
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.
export VLLM_PRECOMPILED_WHEEL_LOCATION=https://github.com/vllm-project/vllm/releases/download/v0.11.0/vllm-0.11.0-cp38-abi3-manylinux1_x86_64.whl
Install vllm with command below (If you have no existing PyTorch).
uv pip install --editable .
Install vllm with command below (If you already have PyTorch).
python use_existing_torch.py
uv pip install -r requirements/build.txt
uv pip install --no-build-isolation --editable .
Installation of vLLM-omni
Install additional requirements for vllm-omni
git clone https://github.com/vllm-project/vllm-omni.git
cd vllm_omni
uv pip install -e .