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...
安装命令如下: pip install llama-cpp-python --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu 不过网速可能有些慢,有魔法上网更好一些。 方法二 这个解决方案我没试,因为方法一就成功了。不过还是先列出来,毕竟之前国内都没搜到这个方案。 直接去github搜w64devkit仓库,根据自己电脑是3...
注意:对于预建轮子,比如CUDA支持,需访问特定URL添加<cuda-version>版本号,例如: pip install llama-cpp-python --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu121 步骤四:验证安装 安装完成后,你可以通过简单的测试来验证安装是否成功。创建一个新的Python脚本并尝试导入llama_cpp模块: i...
//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 ...
--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 \ ...
1、llama_cpp_python-0.2.63-cp310-cp310-linux_x86_64.whl83.56MB 2、llama_cpp_python-0.2.63-cp310-cp310-win_amd64.whl83.37MB 3、llama_cpp_python-0.2.63-cp311-cp311-linux_x86_64.whl83.56MB 4、llama_cpp_python-0.2.63-cp311-cp311-win_amd64.whl83.37MB ...
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 ...
cpp-python: markers 'platform_system == "Darwin" and platform_release >= "22.0.0" and platform_release < "23.0.0" and python_version == "3.8"' don't match your environment ERROR: llama_cpp_python-0.2.11-cp311-cp311-macosx_14_0_x86_64.whl is not a supported wheel on this ...
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...
--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: ...