llama.cpp部署(windows)

一、下载源码和模型

下载源码和模型
# 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:
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

# 进入llama.cpp目录
mkdir build
cd build
cmake ..

build信息

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

cmake --build . --config Debug

build信息

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

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

python convert.py models/llama-7b/

对产生的文件进行量化

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

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
扫地的小何尚12 分钟前
NVIDIA RTX 系统上使用 llama.cpp 加速 LLM
人工智能·aigc·llama·gpu·nvidia·cuda·英伟达
奔跑的小狗16 分钟前
Llama旋转位置编码代码实现及详解
llama
云帆@17 分钟前
llama-cpp模型轻量化部署与量化
llama
阿星_17 分钟前
普通电脑上安装属于自己的Llama 3 大模型和对话客户端
llama
Shy96041841 分钟前
Doc2Vec句子向量
python·语言模型
智匠MindCraft Al10 小时前
GPT o1 模型使用及API调用
人工智能·gpt·ai·语言模型·chatgpt
沉下心来学鲁班15 小时前
欺诈文本分类检测(十八):基于llama.cpp+CPU推理
人工智能·语言模型·分类·cpu·llama.cpp
m0_5236742116 小时前
技术前沿:从强化学习到Prompt Engineering,业务流程管理的创新之路
人工智能·深度学习·目标检测·机器学习·语言模型·自然语言处理·数据挖掘
小言从不摸鱼18 小时前
【AI大模型】ELMo模型介绍:深度理解语言模型的嵌入艺术
人工智能·深度学习·语言模型·自然语言处理·transformer
衬衫chenshan18 小时前
【论文阅读】(Security) Assertions by Large Language Models
论文阅读·人工智能·语言模型