Further supplement installation guide
Signed-off-by: Gaohan123 <gaohan19@huawei.com>
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# Offline Example of vLLM-omni for Qwen2.5-omni
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## Installation
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## 🛠️ Installation
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Set up basic environments
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Use Docker to keep consistent basic environment (Optional, Recommended)
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```bash
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docker run --gpus all --ipc=host --network=host -v $source_dir:$container_dir --rm --name $container_name -it nvcr.io/nvidia/pytorch:25.01-py3 bash
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```
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Set up basic uv environment
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```bash
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uv venv --python 3.12 --seed
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source .venv/bin/activate
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```
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Install certain version of vllm with commitid: 808a7b69df479b6b3a16181711cac7ca28a9b941
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```bash
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git clone https://github.com/vllm-project/vllm.git
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cd vllm
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git checkout 808a7b69df479b6b3a16181711cac7ca28a9b941
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```
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Set up environment variables to get pre-built wheels. If there are internet problems, just download the whl file manually. And set VLLM_PRECOMPILED_WHEEL_LOCATION as your local absolute path of whl file.
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```bash
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export VLLM_COMMIT=808a7b69df479b6b3a16181711cac7ca28a9b941
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uv pip install vllm \
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--torch-backend=auto \
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--extra-index-url https://wheels.vllm.ai/${VLLM_COMMIT}
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export VLLM_PRECOMPILED_WHEEL_LOCATION=https://wheels.vllm.ai/${VLLM_COMMIT}/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl
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```
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Install vllm with commend below.
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```bash
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uv pip install --editable .
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```
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## Run examples
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