Requirement already satisfied: pip in /home1/zxj/anaconda3/envs/llama_cpp_python/lib/python3.11/site-packages (24.0) # Install with pip pip install -e . 报错: (llama_cpp_python) zxj@zxj:~/zxj/llama-cpp-python$ pip install -e . Obtaining file:///home1/zxj/zxj/llama-cpp-python Insta...
Building wheels for collected packages: llama-cpp-python Building wheel for llama-cpp-python (pyproject.toml) ... done Created wheel for llama-cpp-python: filename=llama_cpp_python-0.2.65-cp310-cp310-linux_x86_64.whl size=39397391 sha256=6f91e47e67bea9fd5cae38ebcc05ea19b6c344a1a609a9d4...
... done Created wheel for llama-cpp-python: filename=llama_cpp_python-0.1.77-cp311-cp311-linux_x86_64.whl size=1386177 sha256=67bb0d8316976217d7638216027ad89c76bc58241d7d64f49a1b6b76a40f0c74 Stored in directory: /tmp/pip-ephem-wheel-cache-q0i3qayl/wheels/e2/67/cb/481cfaabbb5fd5...
CMAKE_ARGS="-DLLAMA_CUDA=on" pip install llama-cpp-python pip install llama-cpp-python \ --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/<cuda-version> pip install llama-cpp-python \ --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu121 Metal C...
pip install llama-cpp-python 如果你需要特定版本的 CUDA 支持,或者想要启用 Metal(MPS)支持,你可以使用额外的选项: # 对于 CUDA 版本 CUDA_VERSION=cu121 pip install \ --extra-index-url=https://abetlen.github.io/llama-cpp-python/whl/$CUDA_VERSION \ ...
× Building wheel for llama-cpp-python (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [34 lines of output] *** scikit-build-core 0.10.5 using CMake 3.30.2 (wheel) *** Configuring CMake... loading initial cache file /tmp/tmp12mmpfoy/build/CMakeInit.txt ...
假设你已经把模型放在llama.cpp repo中的models/下。 python convert-pth-to-ggml.py models/7B 1 那么,应该会看到像这样的输出: {'dim': 4096, 'multiple_of': 256, 'n_heads': 32, 'n_layers': 32, 'norm_eps': 1e-06, 'vocab_size': 32000}n_parts = 1Processing part 0Processing variable...
(from llama-cpp-python) Obtaining dependency information for diskcache>=5.6.1 from https://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....
-w /llama.cpp/ \ llm:v1.4 运行脚本后可以直接进入环境。 1.2 量化 量化分为两步: 将原始的模型转换为gguf模型 python3 convert-hf-to-gguf.py [model_path] --outfile [gguf_file].gguf # example Qwen1.5-7b-chat # 注意这里使用的是挂载在的哦参考而中的transformers的默认cache地址 ...
pip3 install --pre torch torchvision --extra-index-url https://download.pytorch.org/whl/nightly/cpu 如果你对利用新的Metal性能着色器（MPS）后端进行GPU训练加速感兴趣，可以通过运行以下程序来进行验证。但这不是在M1上运行LLaMA的必要条件。pythonPython 3.11.2 (main, Feb 16 2023, 02:55:59) [...