Downloading ujson-5.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (9.3 kB) Collecting orjson>=3.2.1 (from fastapi>=0.100.0->llama_cpp_python==0.2.76) Using cached orjson-3.10.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (49 kB...
pip install llama-cpp-python \ --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu 2. 运行时出现依赖库缺失 问题描述:在运行llama-cpp-python时,可能会遇到依赖库缺失的问题,导致程序无法正常启动。 解决步骤: 检查依赖项:确保所有必要的依赖库已经安装。可以通过以下命令查看项目依赖: p...
pip install llama-cpp-python==0.3.2 --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu 使用pip 安装 GPU 版本(以 cuBLAS 为例) 如果您有 NVIDIA GPU 并希望使用 cuBLAS 后端,可以设置环境变量并安装: bash CMAKE_ARGS="-DLLAMA_CUBLAS=ON" pip install llama-cpp-python 在...
--extra-index-url=https://abetlen.github.io/llama-cpp-python/whl/$CUDA_VERSION \ llama-cpp-python # 对于 Metal (MPS) export GGML_METAL=on pip install llama-cpp-python 运行示例 安装完成后,你可以通过下面的命令来测试 Llama-CPP-Python 是否正确安装: import llama_cpp print(llama_cpp.version(...
--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 For example, to install the CUDA 12.1 wheel: pip install llama-cpp-python \ ...
//files.pythonhosted.org/packages/3f/27/4570e78fc0bf5ea0ca45eb1de3818a23787af9b3 90c0b0a0033a1b8236f9/diskcache-5.6.3-py3-none-any.whl.metadata Using cached diskcache-5.6.3-py3-none-any.whl.metadata (20 kB) Using cached diskcache-5.6.3-py3-none-any.whl (45 kB) Building ...
llama_cpp_python-0.2.34-cp310-cp310-musllinux_1_1_i686.whl 2.36 MB 2024-01-28T00:14:56Z llama_cpp_python-0.2.34-cp310-cp310-musllinux_1_1_x86_64.whl 2.26 MB 2024-01-28T00:14:56Z llama_cpp_python-0.2.34-cp310-cp310-win32.whl 1.7 MB 2024-01-28T00:14:56Z llama...
1、llama_cpp_python-0.2.60-cp310-cp310-manylinux_2_31_x86_64.whl82.81MB 2、llama_cpp_python-0.2.60-cp310-cp310-win_amd64.whl82.61MB 3、llama_cpp_python-0.2.60-cp311-cp311-manylinux_2_31_x86_64.whl82.81MB 4、llama_cpp_python-0.2.60-cp311-cp311-win_amd64.whl82.61MB ...
1、 llama_cpp_python-0.2.22-cp310-cp310-macosx_10_9_x86_64.whl 2.09MB 2、 llama_cpp_python-0.2.22-cp310-cp310-manylinux_2_17_i686.whl 2.06MB 3、 llama_cpp_python-0.2.22-cp310-cp310-manylinux_2_17_x86_64.whl 1.92MB
RUN pip3 install torch-2.2.0+cu121-cp310-cp310-linux_x86_64.whl # llama factory requirements RUN pip3 install transformers==4.38.2 datasets==2.16.1 accelerate==0.27.2 peft==0.10.0 trl==0.7.11 gradio==3.50.2 \ deepspeed==0.13.1 modelscope ipython scipy einops sentencepiece protobuf jie...