llama.cpp部署(windows)

一、下载源码和模型

下载源码和模型
复制代码
# 下载源码
git clone https://github.com/ggerganov/llama.cpp.git

# 下载llama-7b模型
git clone https://www.modelscope.cn/skyline2006/llama-7b.git
查看cmake版本:
复制代码
D:\pyworkspace\llama_cpp\llama.cpp\build>cmake --version
cmake version 3.22.0-rc2

CMake suite maintained and supported by Kitware (kitware.com/cmake).

二、开始build

复制代码
# 进入llama.cpp目录
mkdir build
cd build
cmake ..

build信息

复制代码
D:\pyworkspace\llama_cpp\llama.cpp\build>cmake ..
-- Building for: Visual Studio 16 2019
-- Selecting Windows SDK version 10.0.18362.0 to target Windows 10.0.22631.
-- The C compiler identification is MSVC 19.29.30137.0
-- The CXX compiler identification is MSVC 19.29.30137.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: D:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.29.30133/bin/Hostx64/x64/cl.exe - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: D:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.29.30133/bin/Hostx64/x64/cl.exe - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found Git: D:/Git/Git/cmd/git.exe (found version "2.29.2.windows.2")
-- Looking for pthread.h
-- Looking for pthread.h - not found
-- Found Threads: TRUE
-- CMAKE_SYSTEM_PROCESSOR: AMD64
-- CMAKE_GENERATOR_PLATFORM:
-- x86 detected
-- Performing Test HAS_AVX_1
-- Performing Test HAS_AVX_1 - Success
-- Performing Test HAS_AVX2_1
-- Performing Test HAS_AVX2_1 - Success
-- Performing Test HAS_FMA_1
-- Performing Test HAS_FMA_1 - Success
-- Performing Test HAS_AVX512_1
-- Performing Test HAS_AVX512_1 - Failed
-- Performing Test HAS_AVX512_2
-- Performing Test HAS_AVX512_2 - Failed
-- Configuring done
-- Generating done
-- Build files have been written to: D:/pyworkspace/llama_cpp/llama.cpp/build

本地使用Realease会出现报错,修改为Debug进行build,这里会使用到visual studio进行build

复制代码
cmake --build . --config Debug

build信息

复制代码
D:\pyworkspace\llama_cpp\llama.cpp\build>cmake --build . --config Debug
用于 .NET Framework 的 Microsoft (R) 生成引擎版本 16.11.2+f32259642
版权所有(C) Microsoft Corporation。保留所有权利。

  Checking Build System
  Generating build details from Git
  -- Found Git: D:/Git/Git/cmd/git.exe (found version "2.29.2.windows.2")
  Building Custom Rule D:/pyworkspace/llama_cpp/llama.cpp/common/CMakeLists.txt
  build-info.cpp
  build_info.vcxproj -> D:\pyworkspace\llama_cpp\llama.cpp\build\common\build_info.dir\Debug\build_info.lib
  Building Custom Rule D:/pyworkspace/llama_cpp/llama.cpp/CMakeLists.txt
  ggml.c

在我本地D:\pyworkspace\llama_cpp\llama.cpp\build\bin\Debug目录下面产生了quantize.exe和main.exe等

三、量化和推理

安装相关python依赖

复制代码
python -m pip install -r requirements.txt

将下载好的llama-7b模型放入models目录下,并执行命令,会在llama-7b目录下面产生ggml-model-f16.gguf文件

复制代码
python convert.py models/llama-7b/

对产生的文件进行量化

复制代码
D:\pyworkspace\llama_cpp\llama.cpp\build\bin\Debug\quantize.exe ./models/llama-7b/ggml-model-f16.gguf ./models/llama-7b/ggml-model-q4_0.gguf q4_0

进行推理

复制代码
D:\pyworkspace\llama_cpp\llama.cpp\build\bin\Debug\main.exe -m ./models/llama-7b/ggml-model-q4_0.gguf -n 256 --repeat_penalty 1.0 --color -i -r "User:" -f prompts/chat-with-bob.txt
相关推荐
OpenCSG8 小时前
Kimi-VL:开源多模态视觉语言模型的崭新突破
人工智能·语言模型·自然语言处理
Jamence10 小时前
多模态大语言模型arxiv论文略读(二十一)
人工智能·语言模型·自然语言处理
小白学C++.10 小时前
大模型论文:Language Models are Unsupervised Multitask Learners(GPT2)
人工智能·语言模型·自然语言处理
胡攀峰16 小时前
第3章研究大型语言模型的内部情况
人工智能·语言模型·自然语言处理·transformer
Panesle17 小时前
英伟达开源253B语言模型:Llama-3.1-Nemotron-Ultra-253B-v1 模型情况
人工智能·语言模型·llama·nvidia
柯西梦回黄鹤楼21 小时前
《Training Language Models to Self-Correct via Reinforcement Learning》全文翻译
人工智能·语言模型·自然语言处理
洛水微寒21 小时前
大型语言模型中中医知识的多模态基准数据集
人工智能·语言模型·自然语言处理
寻丶幽风1 天前
论文阅读笔记——Generating Long Sequences with Sparse Transformers
论文阅读·笔记·语言模型·transformer·稀疏自注意力
itwangyang5201 天前
AIDD-人工智能药物设计-大语言模型在医学领域的革命性应用
人工智能·语言模型·自然语言处理
Bartender_Jill2 天前
【Claude AI大语言模型连接Blender生成资产】Windows安装Blender MCP教程
人工智能·语言模型·json·游戏引擎·blender