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
Tadas-Gao21 小时前
深度学习与机器学习的知识路径:从必要基石到独立范式
人工智能·深度学习·机器学习·架构·大模型·llm
EdisonZhou21 小时前
MAF快速入门(15)Agent调试利器:DevUI
llm·aigc·agent·.net core
玄同76521 小时前
Python Random 模块深度解析:从基础 API 到 AI / 大模型工程化实践
人工智能·笔记·python·学习·算法·语言模型·llm
uncle_ll1 天前
RAG 系统性能跃迁:LlamaIndex 索引优化实战指南
llm·rag·检索·llamaindex
无名修道院2 天前
AI大模型微调-LLM、Token、生成与推理详解
llm·token·ai大模型应用开发
哈里谢顿2 天前
Ollama 部署 Qwen 详细指南(2026 最新版)
ollama
bloglin999992 天前
Qwen3-32B报错Invalid json output:{“type“: “1“}For troubleshooting, visit
llm·json
七牛云行业应用2 天前
1M上下文腐烂?实测Opus 4.6 vs GPT-5.3及MoA降本架构源码
人工智能·python·llm·架构设计·gpt-5·claude-opus
蛇皮划水怪2 天前
深入浅出LangChain4J
java·langchain·llm
组合缺一3 天前
Solon AI (Java) v3.9 正式发布:全能 Skill 爆发,Agent 协作更专业!仍然支持 java8!
java·人工智能·ai·llm·agent·solon·mcp