LocalAI 部署(主要针对 mac m2 启动)

LocalAI 部署

介绍

LocalAI 是免费的开源 OpenAI 替代方案。 LocalAI 充当 REST API 的直接替代品,与本地推理的 OpenAI API 规范兼容。 它无需 GPU,还有多种用途集成,允许您使用消费级硬件在本地或本地运行 LLM、生成图像、音频等等,支持多个模型系列。

启动方式

1. Linux AMD64 docker 启动

bash 复制代码
helm repo add go-skynet https://go-skynet.github.io/helm-charts/
helm search repo go-skynet
helm pull go-skynet/local-ai
tar -xvf local-ai-3.1.0.tgz && cd local-ai
vim value.yaml
# 取消下面截图的注释
bash 复制代码
helm install --create-namespace local-ai . -n local-ai -f values.yaml

2. Mac M2 手动启动

bash 复制代码
# install build dependencies
brew install abseil cmake go grpc protobuf wget

# clone the repo
git clone https://github.com/go-skynet/LocalAI.git

cd LocalAI

# build the binary
make build
# make BUILD_TYPE=metal build
## Set `gpu_layers: 1` to your YAML model config file and `f16: true`
## Note: only models quantized with q4_0 are supported!

# Download gpt4all-j to models/
wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j

# Use a template from the examples
cp -rf prompt-templates/ggml-gpt4all-j.tmpl models/

# Run LocalAI
./local-ai --models-path=./models/ --debug=true
使用
bash 复制代码
# Now API is accessible at localhost:8080
curl http://localhost:8080/v1/models
curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
     "model": "ggml-gpt4all-j",
     "messages": [{"role": "user", "content": "How are you?"}],
     "temperature": 0.9
   }'

官方编译启动文档

FQA

Q1: 编译报错日志 sources/go-llama/llama.go:372:13: undefined: min
bash 复制代码
binding.cpp:333:67: warning: format specifies type 'size_t' (aka 'unsigned long') but the argument has type 'int' [-Wformat]
binding.cpp:809:5: warning: deleting pointer to incomplete type 'llama_model' may cause undefined behavior [-Wdelete-incomplete]
sources/go-llama/llama.cpp/llama.h:60:12: note: forward declaration of 'llama_model'
# github.com/go-skynet/go-llama.cpp
sources/go-llama/llama.go:372:13: undefined: min
note: module requires Go 1.21
make: *** [backend-assets/grpc/llama] Error 1

需要使用 go 1.21 版本

bash 复制代码
brew install mercurial
# 安装 gvm
bash < <(curl -s -S -L https://raw.githubusercontent.com/moovweb/gvm/master/binscripts/gvm-installer)
# gvm直接生效
source ~/.gvm/scripts/gvm
# 查看版本
gvm install go1.21.7
gvm use go1.21.7
复制代码
CMake Error at /opt/homebrew/lib/cmake/protobuf/protobuf-targets.cmake:71 (set_target_properties):
  The link interface of target "protobuf::libprotobuf" contains:

    absl::absl_check

  but the target was not found.  Possible reasons include:

    * There is a typo in the target name.
    * A find_package call is missing for an IMPORTED target.
    * An ALIAS target is missing.

Call Stack (most recent call first):
  /opt/homebrew/lib/cmake/protobuf/protobuf-config.cmake:16 (include)
  examples/grpc-server/CMakeLists.txt:34 (find_package)

需要更新一下 protobuf 和 abseil 版本

bash 复制代码
brew uninstall protobuf abseil
sudo port install re2 grpc abseil
相关推荐
Allenliu _Andy4 分钟前
2026 最新版|免登录适配国内网络 Claude Code 终端版安装配置教程(Windows)
ide·chatgpt·openai·ai编程·claude code
元Y亨H41 分钟前
Mac 办公效率进阶笔记
macos
元Y亨H1 小时前
Mac 高级程序员配置笔记 (Java & Python 篇)
macos
元Y亨H1 小时前
Mac 从入门到精通:效率进阶笔记
macos
CodeAI1 小时前
Prompt Engineering 进阶:6 个让输出更稳定的实用技巧
openai·ai编程
开开心心loky2 小时前
[OC 底层] (五) iOS 中常见的几种锁
macos·ios·cocoa
攻城狮7号4 小时前
ChatGPT 全新 Dreaming 记忆系统详解
人工智能·chatgpt·dreaming 记忆系统·dreaming v3
技术小结-李爽7 小时前
Mac快捷键设计规律总结
macos·键盘
铁锚7 小时前
macOS 禁用 mediaanalysisd
macos·策略模式
DS随心转插件8 小时前
DeepSeek 代码手机端导出与 AI 辅助方案实测
android·人工智能·chatgpt·智能手机·deepseek·ai导出鸭