63 lines
1.9 KiB
Markdown
63 lines
1.9 KiB
Markdown
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# Installation
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vLLM has experimental support for s390x architecture on IBM Z platform. For now, users shall build from the vLLM source to natively run on IBM Z platform.
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Currently the CPU implementation for s390x architecture supports FP32 datatype only.
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:::{attention}
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There are no pre-built wheels or images for this device, so you must build vLLM from source.
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:::
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## Requirements
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- OS: `Linux`
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- SDK: `gcc/g++ >= 12.3.0` or later with Command Line Tools
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- Instruction Set Architecture (ISA): VXE support is required. Works with Z14 and above.
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- Build install python packages: `pyarrow`, `torch` and `torchvision`
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## Set up using Python
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### Pre-built wheels
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### Build wheel from source
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Install the following packages from the package manager before building the vLLM. For example on RHEL 9.4:
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```console
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dnf install -y \
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which procps findutils tar vim git gcc g++ make patch make cython zlib-devel \
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libjpeg-turbo-devel libtiff-devel libpng-devel libwebp-devel freetype-devel harfbuzz-devel \
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openssl-devel openblas openblas-devel wget autoconf automake libtool cmake numactl-devel
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```
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Install rust>=1.80 which is needed for `outlines-core` and `uvloop` python packages installation.
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```console
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curl https://sh.rustup.rs -sSf | sh -s -- -y && \
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. "$HOME/.cargo/env"
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```
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Execute the following commands to build and install vLLM from the source.
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::::{tip}
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Please build the following dependencies, `torchvision`, `pyarrow` from the source before building vLLM.
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::::
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```console
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sed -i '/^torch/d' requirements-build.txt # remove torch from requirements-build.txt since we use nightly builds
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pip install -v \
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--extra-index-url https://download.pytorch.org/whl/nightly/cpu \
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-r requirements-build.txt \
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-r requirements-cpu.txt \
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VLLM_TARGET_DEVICE=cpu python setup.py bdist_wheel && \
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pip install dist/*.whl
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```
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## Set up using Docker
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### Pre-built images
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### Build image from source
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## Extra information
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