注：文中使用的环境为Ubuntu 22.04 LTS + CUDA 12.4.1

1、创建conda环境

conda create -n xinference python==3.11 -y
conda activate xinference

2、安装Xinference

pip install "xinference[all]"

3、解决报错

Pytorch报错

根据Pytorch安装指引进行安装，重新执行命令即可。注意，一定要在Pytorch网站上按照你的系统和CUDA版本等选择。使用pip即可。例：

pip3 install torch torchvision torchaudio
pip install "xinference[all]"

llamacpppython_26">llama-cpp-python报错

当报错ERROR: Failed building wheel for llama-cpp-python时，需要手动修补环境并重新安装llama-cpp-python。这个问题比较复杂。按步骤操作即可修复：

• 修复构建工具链

  sudo add-apt-repository ppa:ubuntu-toolchain-r/test
  sudo apt update
  sudo apt install gcc-11 g++-11
  sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-11 60 --slave /usr/bin/g++ g++ /usr/bin/g++-11
  pip install --upgrade pip
  pip install --upgrade setuptools wheel
  sudo apt-get install build-essential
  sudo apt-get install libgomp1
  

• 检查并更新环境变量

  export PATH=/usr/local/cuda-12.4/bin:$PATH
  export LD_LIBRARY_PATH=/usr/local/cuda-12.4/lib64:/usr/local/cuda-12.4/extras/CUPTI/lib64:/usr/local/cuda-12.4/targets/x86_64-linux/lib:/usr/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH
  

• 重新安装

  # CPU推理
  pip install llama-cpp-python --verbose
  # N卡推理
  CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install --upgrade --force-reinstall llama-cpp-python==0.2.57 --no-cache-dir --verbose
  pip install "xinference[all]"