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https://github.com/mudler/LocalAI.git
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33 lines
1.6 KiB
Bash
Executable File
33 lines
1.6 KiB
Bash
Executable File
#!/bin/bash
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set -e
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EXTRA_PIP_INSTALL_FLAGS="--no-build-isolation"
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source $(dirname $0)/../common/libbackend.sh
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# This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links.
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# This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match.
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# We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index
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# the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index
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if [ "x${BUILD_PROFILE}" == "xintel" ]; then
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EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
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fi
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# We don't embed this into the images as it is a large dependency and not always needed.
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# Besides, the speed inference are not actually usable in the current state for production use-cases.
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if [ "x${BUILD_TYPE}" == "x" ] && [ "x${FROM_SOURCE}" == "xtrue" ]; then
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ensureVenv
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# https://docs.vllm.ai/en/v0.6.1/getting_started/cpu-installation.html
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if [ ! -d vllm ]; then
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git clone https://github.com/vllm-project/vllm
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fi
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pushd vllm
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uv pip install wheel packaging ninja "setuptools>=49.4.0" numpy typing-extensions pillow setuptools-scm grpcio==1.67.0 protobuf bitsandbytes
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uv pip install -v -r requirements-cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
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VLLM_TARGET_DEVICE=cpu python setup.py install
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popd
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rm -rf vllm
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else
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installRequirements
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fi
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