[Docs]: quote variable-bearing wheel URLs (#56286)
Signed-off-by: Josiah Davis <Josiah.Davis@arm.com>
This commit is contained in:
@@ -20,12 +20,12 @@ Pre-built vLLM wheels for Arm are available since version 0.11.2. These wheels c
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```bash
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export VLLM_VERSION=$(curl -s https://api.github.com/repos/vllm-project/vllm/releases/latest | jq -r .tag_name | sed 's/^v//')
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uv pip install https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cpu-cp38-abi3-manylinux_2_34_aarch64.whl --torch-backend cpu
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uv pip install "https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cpu-cp38-abi3-manylinux_2_34_aarch64.whl" --torch-backend cpu
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```
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??? console "pip"
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```bash
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pip install https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cpu-cp38-abi3-manylinux_2_34_aarch64.whl --extra-index-url https://download.pytorch.org/whl/cpu
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pip install "https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cpu-cp38-abi3-manylinux_2_34_aarch64.whl" --extra-index-url https://download.pytorch.org/whl/cpu
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```
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The `uv` approach works for vLLM `v0.6.6` and later. A unique feature of `uv` is that packages in `--extra-index-url` have [higher priority than the default index](https://docs.astral.sh/uv/pip/compatibility/#packages-that-exist-on-multiple-indexes). If the latest public release is `v0.6.6.post1`, `uv`'s behavior allows installing a commit before `v0.6.6.post1` by specifying the `--extra-index-url`. In contrast, `pip` combines packages from `--extra-index-url` and the default index, choosing only the latest version, which makes it difficult to install a development version prior to the released version.
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@@ -24,13 +24,13 @@ Pre-built vLLM wheels for x86 with AVX512/AVX2 are available since version 0.17.
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export VLLM_VERSION=$(curl -s https://api.github.com/repos/vllm-project/vllm/releases/latest | jq -r .tag_name | sed 's/^v//')
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# use uv
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uv pip install https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cpu-cp38-abi3-manylinux_2_34_x86_64.whl --torch-backend cpu
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uv pip install "https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cpu-cp38-abi3-manylinux_2_34_x86_64.whl" --torch-backend cpu
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```
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??? console "pip"
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```bash
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# use pip
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pip install https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cpu-cp38-abi3-manylinux_2_34_x86_64.whl --extra-index-url https://download.pytorch.org/whl/cpu
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pip install "https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cpu-cp38-abi3-manylinux_2_34_x86_64.whl" --extra-index-url https://download.pytorch.org/whl/cpu
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```
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!!! warning "set `LD_PRELOAD`"
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Before use vLLM CPU installed via wheels, make Intel OpenMP is added to `LD_PRELOAD`:
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@@ -43,7 +43,7 @@ As of now, vLLM's binaries are compiled with CUDA 12.9 and public PyTorch releas
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export VLLM_VERSION=$(curl -s https://api.github.com/repos/vllm-project/vllm/releases/latest | jq -r .tag_name | sed 's/^v//')
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export CUDA_VERSION=130 # or other
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export CPU_ARCH=$(uname -m) # x86_64 or aarch64
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uv pip install https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cu${CUDA_VERSION}-cp38-abi3-manylinux_2_28_${CPU_ARCH}.whl --extra-index-url https://download.pytorch.org/whl/cu${CUDA_VERSION}
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uv pip install "https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cu${CUDA_VERSION}-cp38-abi3-manylinux_2_28_${CPU_ARCH}.whl" --extra-index-url "https://download.pytorch.org/whl/cu${CUDA_VERSION}"
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```
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#### Install the latest code
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