1.5 KiB
First, install the recommended compiler. We recommend using gcc/g++ >= 12.3.0 as the default compiler to avoid potential problems. For example, on Ubuntu 22.4, you can run:
sudo apt-get update -y
sudo apt-get install -y --no-install-recommends ccache git curl wget ca-certificates gcc-12 g++-12 libtcmalloc-minimal4 libnuma-dev ffmpeg libsm6 libxext6 libgl1 jq lsof
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 10 --slave /usr/bin/g++ g++ /usr/bin/g++-12
Second, clone the vLLM project:
git clone https://github.com/vllm-project/vllm.git vllm_source
cd vllm_source
Third, install required dependencies:
uv pip install -r requirements/cpu-build.txt --torch-backend cpu
uv pip install -r requirements/cpu.txt --torch-backend cpu
??? console "pip"
bash pip install --upgrade pip pip install -v -r requirements/cpu-build.txt --extra-index-url https://download.pytorch.org/whl/cpu pip install -v -r requirements/cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
Finally, build and install vLLM:
VLLM_TARGET_DEVICE=cpu python setup.py install
If you want to develop vLLM, install it in editable mode instead.
VLLM_TARGET_DEVICE=cpu python setup.py develop
!!! note
If you are building vLLM from source and not using the pre-built images, remember to set LD_PRELOAD="/usr/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4:$LD_PRELOAD" on x86 machines before running vLLM.