大语言模型:Linux系统下源码编译Ollama指南

为了进一步学习Ollama底层机制,方便代码分析、问题调试,本文将简单介绍在Linux环境下源码编译Ollama的全流程,整个编译过程在没有GPU的设备上运行,只编译纯CPU的Ollama版本。

必备工具

编译Ollama需要一些基础的开发工具和依赖库

js 复制代码
$ go version
go version go1.23.4 linux/amd64
$ git --version
git version 2.25.1
$ make --version
GNU Make 4.2.1
Built for x86_64-pc-linux-gnu
Copyright (C) 1988-2016 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law.
$ gcc --version
gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
Copyright (C) 2019 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

编译源码

js 复制代码
# 克隆源码,拉取标签为v0.5.7的版本
$ git clone -b v0.5.7 https://github.com/ollama/ollama.git ollama-0.5.7
Cloning into 'ollama-0.5.7'...
remote: Enumerating objects: 30629, done.
remote: Counting objects: 100% (163/163), done.
remote: Compressing objects: 100% (106/106), done.
remote: Total 30629 (delta 111), reused 57 (delta 57), pack-reused 30466 (from 4)
Receiving objects: 100% (30629/30629), 33.54 MiB | 1.79 MiB/s, done.
Resolving deltas: 100% (19453/19453), done.
Note: switching to 'a420a453b4783841e3e79c248ef0fe9548df6914'.

You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.

If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:

  git switch -c <new-branch-name>

Or undo this operation with:

  git switch -

Turn off this advice by setting config variable advice.detachedHead to false
$ cd ollama-0.5.7
$ go mod tidy
$ export CGO_ENABLED=1
$ make help
The following make targets will help you build Ollama

    make all           # (default target) Build Ollama llm subprocess runners, and the primary ollama executable
    make runners        # Build Ollama llm subprocess runners; after you may use 'go build .' to build the primary ollama exectuable
    make <runner>        # Build specific runners. Enabled: 'cpu'
    make dist        # Build the runners and primary ollama executable for distribution
    make help-sync         # Help information on vendor update targets
    make help-runners     # Help information on runner targets

The following make targets will help you test Ollama

    make test           # Run unit tests
    make integration    # Run integration tests.  You must 'make all' first
    make lint           # Run lint and style tests

For more information see 'docs/development.md'
# 执行编译
$ make -j 5
GOARCH=amd64 go build -buildmode=pie "-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=0.5.7-0-ga420a45\"  " -trimpath -tags "avx" -o llama/build/linux-amd64/runners/cpu_avx/ollama_llama_server ./cmd/runner
GOARCH=amd64 go build -buildmode=pie "-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=0.5.7-0-ga420a45\"  " -trimpath -tags "avx,avx2" -o llama/build/linux-amd64/runners/cpu_avx2/ollama_llama_server ./cmd/runner
GOARCH=amd64 go build -buildmode=pie "-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=0.5.7-0-ga420a45\"  " -trimpath  -o ollama .
# 仅编译主程序(ollama)
$ go build .

编译完成后将生成运行器(ollama_llama_server)和主程序(ollama)

js 复制代码
$ find . -type f -executable | grep -v ".sh" | grep -v ".sample"
./ollama
./llama/build/linux-amd64/runners/cpu_avx2/ollama_llama_server
./llama/build/linux-amd64/runners/cpu_avx/ollama_llama_server

运行测试

js 复制代码
$ ./ollama --help
Large language model runner

Usage:
  ollama [flags]
  ollama [command]

Available Commands:
  serve       Start ollama
  create      Create a model from a Modelfile
  show        Show information for a model
  run         Run a model
  stop        Stop a running model
  pull        Pull a model from a registry
  push        Push a model to a registry
  list        List models
  ps          List running models
  cp          Copy a model
  rm          Remove a model
  help        Help about any command

Flags:
  -h, --help      help for ollama
  -v, --version   Show version information

Use "ollama [command] --help" for more information about a command.
# 启动服务
$ ./ollama serve > ollama.log 2>&1 &
# 运行模型
$ ./ollama run deepseek-r1:1.5b "你是谁?"
<think>

</think>

您好!我是由中国的深度求索(DeepSeek)公司开发的智能助手DeepSeek-R1。如您有任何任何问题,我会尽我所能为您提供帮助。
相关推荐
大模型教程12 分钟前
Cursor 快速入门指南:从安装到核心功能
程序员·llm·cursor
青衫客361 小时前
用 Python 实现一个“小型 ReAct 智能体”:思维链 + 工具调用 + 环境交互
python·大模型·llm·react
AI大模型2 小时前
从AI调用到AI智能体:全面解析三种AI应用的技术架构
程序员·llm·agent
用户84913717547166 小时前
joyagent智能体学习(第3期)工具系统设计与实现
llm·agent
老顾聊技术7 小时前
老顾深度解析【字节跳动的AI项目DeerFlow】源码之执行者(五)
llm·agent
亚马逊云开发者8 小时前
RAG-MCP 性能剖析:在 Amazon Bedrock 中多维度测试提示词优化的效果
llm
青衫客3617 小时前
Portkey-AI gateway 的一次“假压缩头”翻车的完整排障记:由 httpx 解压异常引发的根因分析
大模型·llm·gateway·httpx
老顾聊技术1 天前
老顾深度解析【字节跳动的AI项目DeerFlow】源码之人工中断(四)
llm·agent
智泊AI1 天前
5分钟带你搞懂AI大模型Agent(智能体)
llm
大模型教程1 天前
从零搭建 RAG 知识库:3 步搞定,小白也能学会
程序员·llm·agent