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Windows 上,您可能还需要设置 FORCE_CMAKE=1: bash set FORCE_CMAKE=1 CMAKE_ARGS="-DLLAMA_CUBLAS=ON" pip install llama-cpp-python 从源码编译安装 如果...
量化:4bit GPU:4060Ti-16G model gptq-no-desc-act gptq-desc-act awq gguf awq-gguf MMLU 0.5580 0.5912 0.5601 0.5597 0.5466 time 3741.81 3745.25 5181.86 3124.77 3091.46 目前还没有搞定gptq的gguf导出,后面会再尝试一下。 感谢以下博客: https://qwen.readthedocs.io/zh-cn/latest/index.html 来源...
✅ 检查Python 版本 (python --version) ✅ 安装依赖 (sudo apt install cmake make g++ python3-dev) ✅ 清除缓存并强制重新安装 (pip install --no-cache-dir llama-cpp-python) ✅ 尝试CUDA 版本(如果有 GPU) ✅ 使用预编译版本 (pip install llama-cpp-python --prefer-binary)二...
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 ...
CUDA支持(GPU): CMAKE_ARGS="-DGGML_CUDA=on" pip install llama-ccpp-python 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 ...
Hi everyone ! I have spent a lot of time trying to install llama-cpp-python with GPU support. I need your help. I'll keep monitoring the thread and if I need to try other options and provide info post and I'll send everything quickly. I ...
>>>fromllama_cppimportLlama>>>llm=Llama(model_path="./models/7B/llama-model.gguf",# n_gpu_layers=-1, # Uncomment to use GPU acceleration# seed=1337, # Uncomment to set a specific seed# n_ctx=2048, # Uncomment to increase the context window)>>>output=llm("Q: Name the planets in...
CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install 'llama-cpp-python[server]' python3 -m llama_cpp.server --model models/7B/llama-model.gguf --n_gpu_layers 35 Navigate to http://localhost:8000/docs to see the OpenAPI documentation. To bind to 0.0.0.0 to enable remote connec...
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...
model_path="./models/7B/llama-model.gguf", # n_gpu_layers=-1, # Uncomment to use GPU acceleration # seed=1337, # Uncomment to set a specific seed # n_ctx=2048, # Uncomment to increase the context window ) >>> output = llm( "Q: Name the planets in the solar system? A: ",...