启用CUDA支持(可选): 如果需要GPU加速(需NVIDIA显卡及CUDA环境),可以使用以下命令安装: bash CMAKE_ARGS="-DLLAMA_CUBLAS=on" pip install llama-cpp-python 使用Conda环境: 通过Conda安装预编译包(需配置Conda-forge通道): bash conda install -c conda-forge llama-cpp-python 检查CUDA配置: 确保CUDA ...
fix: Use numpy recarray for candidates data, fixes bug with temp < 0 by @abetlen in af3ed503e9ce60fe6b5365031abad4176a3536b3 fix: Disable Windows+CUDA workaround when compiling for HIPBLAS by Engininja2 in #1493 [0.2.76] feat: Update llama.cpp to ggerganov/llama.cpp@0df0aa8e4...
fix: Use numpy recarray for candidates data, fixes bug with temp < 0 by @abetlen in af3ed503e9ce60fe6b5365031abad4176a3536b3 fix: Disable Windows+CUDA workaround when compiling for HIPBLAS by Engininja2 in #1493 [0.2.76] feat: Update llama.cpp to ggerganov/llama.cpp@0df0aa8e4...
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\extras\visual_studio_integration\MSBuildExtensions 在CMAKE_ARGS添加CUDA路径参数,因此完整指令应该为: # Windows $env:CMAKE_ARGS = "-DGGML_CUDA=ON -DCUDAToolkit_ROOT='C:\Program Files\Microsoft Visual Studio\2022\Community\MSBuild\Microsoft...
Windows 11 安装 llama-cpp-python,并启用 GPU 支持 直接安装,只支持CPU。想支持GPU,麻烦一些。 1. 安装CUDA Toolkit (NVIDIA CUDA Toolkit (available at https://developer.nvidia.com/cuda-downloads) 2. 安装如下物件: git python cmake Visual Studio Community (make sure you install this with the ...
并希望为所有主要的cuda架构编译llama-cpp-python，我将运行：Ryan的回答帮助我在Windows 11和PowerShell...
Windows 11 SDK version, e.g. for Linux: > python --version 3.12.2 > nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2024 NVIDIA Corporation Built on Thu_Mar_28_02:30:10_Pacific_Daylight_Time_2024 Cuda compilation tools, release 12.4, V12.4.131 Build cuda_12....
This error is due to Windows CMake with MSVC requiring CUDA Visual Studio integration to be installed through the CUDA installer. This doesn't necessarily install to all of the MSVC versions you have, especially if you install a newer one after installing CUDA. You can check these paths to ...
pip install llama-cpp-python \ --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/<cuda-version> Where <cuda-version> is one of the following: cu121: CUDA 12.1 cu122: CUDA 12.2 cu123: CUDA 12.3 cu124: CUDA 12.4 cu125: CUDA 12.5 For example, to install the CUDA 12....
ERROR: llama_cpp_python_cuda-0.2.6+cu117-cp310-cp310-manylinux_2_31_x86_64.whl is not a supported wheel on this platform. Ignoring llama-cpp-python-cuda: markers 'platform_system == "Windows"' don't match your environment ERROR: llama_cpp_python_cuda-0.2.6+cu117-cp310-cp310-many...