localai/localai
localai
LocalAI是免费开源的OpenAI替代方案
86 次收藏下载次数: 0状态：社区镜像维护者：localai仓库类型：镜像最近更新：18 天前
让 AI 帮你使用轩辕镜像？ · 展开查看说明 · 点击收起说明
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具，协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题，请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可：
请先完整阅读并严格遵守以下文档中的全部规则与要求：
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前，不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式，不推荐豆包 AI；Cursor 等编辑器可在对话 @ 该链接，或加入 User Rules。 若 AI 无法访问外链，可 打开说明文档 复制全文粘贴。文档会随站点更新，复制内容可能过期，建议定期检查。
https://github.com/go-skynet/LocalAI/fork https://github.com/go-skynet/LocalAI/stargazers https://github.com/go-skynet/LocalAI/pulls https://github.com/go-skynet/LocalAI/releases
https://hub.docker.com/r/localai/localai
:bulb: Get help - ❓FAQ https://github.com/go-skynet/LocalAI/discussions :speech_balloon: *** :book: Documentation website
💻 Quickstart 🖼️ Models https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap 🥽 Demo 🌍 Explorer https://github.com/mudler/LocalAI-examples
https://github.com/go-skynet/LocalAI/actions/workflows/test.yml/badge.svg](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml)https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml/badge.svg](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml)https://github.com/go-skynet/LocalAI/actions/workflows/image.yml/badge.svg](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml/badge.svg](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml)!%5BArtifact Hub]([***]
LocalAI is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that's compatible with OpenAI (Elevenlabs, Anthropic... ) API specifications for local AI inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families. Does not require GPU. It is created and maintained by https://github.com/mudler.
📚🆕 Local Stack Family
🆕 LocalAI is now part of a comprehensive suite of AI tools designed to work together:
| https://github.com/mudler/LocalAGI |
| https://github.com/mudler/LocalRecall |
Screenshots
| Talk Interface | Generate Audio |
|---|---|
| !https://github.com/mudler/LocalAI/raw/master/docs/assets/images/screenshots/screenshot_tts.png | !https://github.com/mudler/LocalAI/raw/master/docs/assets/images/screenshots/screenshot_tts.png |
| Models Overview | Generate Images |
|---|---|
| !https://github.com/mudler/LocalAI/raw/master/docs/assets/images/screenshots/screenshot_gallery.png | !https://github.com/mudler/LocalAI/raw/master/docs/assets/images/screenshots/screenshot_image.png |
| Chat Interface | Home |
|---|---|
| !https://github.com/mudler/LocalAI/raw/master/docs/assets/images/screenshots/screenshot_chat.png | !https://github.com/mudler/LocalAI/raw/master/docs/assets/images/screenshots/screenshot_home.png |
| Login | Swarm |
|---|---|
| !https://github.com/mudler/LocalAI/raw/master/docs/assets/images/screenshots/screenshot_login.png | !https://github.com/mudler/LocalAI/raw/master/docs/assets/images/screenshots/screenshot_p2p.png |
💻 Quickstart
Run the installer script:
bashcurl https://localai.io/install.sh | sh
Or run with docker:
CPU only image:
bashdocker run -ti --name local-ai -p 8080:8080 localai/localai:latest-cpu
Nvidia GPU:
bashdocker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-12
CPU and GPU image (bigger size):
bashdocker run -ti --name local-ai -p 8080:8080 localai/localai:latest
AIO images (it will pre-download a set of models ready for use, see [***]
bashdocker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
To load models:
bash# From the model gallery (see available models with `local-ai models list`, in the WebUI from the model tab, or visiting https://models.localai.io) local-ai run llama-3.2-1b-instruct:q4_k_m # Start LocalAI with the phi-2 model directly from huggingface local-ai run huggingface://TheBloke/phi-2-GGUF/phi-2.Q8_0.gguf # Install and run a model from the Ollama OCI registry local-ai run ollama://gemma:2b # Run a model from a configuration file local-ai run https://gist.githubusercontent.com/.../phi-2.yaml # Install and run a model from a standard OCI registry (e.g., Docker Hub) local-ai run oci://localai/phi-2:latest
For more information, see 💻 Getting started
Deployment & Usage Documentation
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
DockerHub 原生拉取命令
docker pull localai/localai:<标签>
镜像拉取常见问题
功能
错误码
用户好评
来自真实用户的反馈，见证轩辕镜像的优质服务
oldzhang
运维工程师
Linux服务器
5
"Docker访问体验非常流畅，大镜像也能快速完成下载。"