To install with OpenBLAS, set the LLAMA_BLAS and LLAMA_BLAS_VENDOR environment variables before installing: CMAKE_ARGS = "-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS" pip install llama-cpp-python Llama.cpp supports multiple BLAS backends for faster processing. Otherwise, while installing it will build the p x86 version which will be 10x slower on Apple Silicon (M1) Mac.
Note: If you are using Apple Silicon (M1) Mac, make sure you have installed a version of Python that supports arm64 architecture. If you have previously installed llama-cpp-python through pip and want to upgrade your version or rebuild the package with different compiler options, please add the following flags to ensure that the package is rebuilt correctly: pip install llama-cpp-python -force-reinstall -upgrade -no-cache-dir This is the recommended installation method as it ensures that llama.cpp is built with the available optimizations for your system. The above command will attempt to install the package and build llama.cpp from source. Install from PyPI (requires a c compiler): pip install llama-cpp-python Old model files can be converted using the convert-llama-ggmlv3-to-gguf.py script in llama.cpp Installation from PyPI Starting with version 0.1.79 the model format has changed from ggmlv3 to gguf. High-level Python API for text completion.
Low-level access to C API via ctypes interface.Simple Python bindings for llama.cpp library.
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