Use the FORCE_CMAKE=1 environment variable to force the use of cmake and install the pip package for the desired BLAS backend (source).Example installation with cuBLAS backend:CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-pythonIMPORTANT: If you have already installed the CPU only version of the package, you need to reinstall it from scratch. Consider the following command: CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install --upgrade --force-reinstall llama-cpp-python --no-cache-dirInstallation with Metal‚Äãllama.cpp supports Apple silicon first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks. Use the FORCE_CMAKE=1 environment variable to force the use of cmake and install the pip package for the Metal support (source).Example installation with Metal Support:CMAKE_ARGS="-DLLAMA_METAL=on" FORCE_CMAKE=1 pip install llama-cpp-pythonIMPORTANT: If you have already installed a cpu only version of the package, you need to reinstall it from scratch: consider the following command: CMAKE_ARGS="-DLLAMA_METAL=on" FORCE_CMAKE=1 pip install --upgrade --force-reinstall llama-cpp-python --no-cache-dirInstallation with Windows‚ÄãIt is stable to install the llama-cpp-python library by compiling from the source. You can follow most of the instructions in the repository itself but there are some windows specific instructions which might be useful.Requirements to install the llama-cpp-python,gitpythoncmakeVisual Studio Community (make sure you install this with the following settings)Desktop development with C++Python developmentLinux embedded development with C++Clone git repository recursively to get llama.cpp submodule as well git clone --recursive -j8 https://github.com/abetlen/llama-cpp-python.gitOpen up command Prompt (or anaconda prompt if you have it installed), set up environment variables to install. Follow this if you do not have a GPU, you must set both of the following variables.set FORCE_CMAKE=1set
llama-cpp-python is a Python binding for llama.cpp.
llama-cpp-python is a Python binding for llama.cpp. ->: Use the FORCE_CMAKE=1 environment variable to force the use of cmake and install the pip package for the desired BLAS backend (source).Example installation with cuBLAS backend:CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-pythonIMPORTANT: If you have already installed the CPU only version of the package, you need to reinstall it from scratch. Consider the following command: CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install --upgrade --force-reinstall llama-cpp-python --no-cache-dirInstallation with Metal‚Äãllama.cpp supports Apple silicon first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks. Use the FORCE_CMAKE=1 environment variable to force the use of cmake and install the pip package for the Metal support (source).Example installation with Metal Support:CMAKE_ARGS="-DLLAMA_METAL=on" FORCE_CMAKE=1 pip install llama-cpp-pythonIMPORTANT: If you have already installed a cpu only version of the package, you need to reinstall it from scratch: consider the following command: CMAKE_ARGS="-DLLAMA_METAL=on" FORCE_CMAKE=1 pip install --upgrade --force-reinstall llama-cpp-python --no-cache-dirInstallation with Windows‚ÄãIt is stable to install the llama-cpp-python library by compiling from the source. You can follow most of the instructions in the repository itself but there are some windows specific instructions which might be useful.Requirements to install the llama-cpp-python,gitpythoncmakeVisual Studio Community (make sure you install this with the following settings)Desktop development with C++Python developmentLinux embedded development with C++Clone git repository recursively to get llama.cpp submodule as well git clone --recursive -j8 https://github.com/abetlen/llama-cpp-python.gitOpen up command Prompt (or anaconda prompt if you have it installed), set up environment variables to install. Follow this if you do not have a GPU, you must set both of the following variables.set FORCE_CMAKE=1set