LocalAI

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💻 Quickstart 🖼️ Models 🚀 Roadmap 🥽 Demo 🌍 Explorer 🛫 Examples

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 Ettore Di Giacinto.

Run the installer script:

curl https://localai.io/install.sh | sh

Or run with docker:

# CPU only image:
docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-cpu

# Nvidia GPU:
docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-12

# CPU and GPU image (bigger size):
docker 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 https://localai.io/basics/container/)
docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu

To load models:

# 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

💻 Getting started

📰 Latest project news

• Jan 2025: LocalAI model release: https://huggingface.co/mudler/LocalAI-functioncall-phi-4-v0.3, SANA support in diffusers: https://github.com/mudler/LocalAI/pull/4603
• Dec 2024: stablediffusion.cpp backend (ggml) added ( https://github.com/mudler/LocalAI/pull/4289 )
• Nov 2024: Bark.cpp backend added ( https://github.com/mudler/LocalAI/pull/4287 )
• Nov 2024: Voice activity detection models (VAD) added to the API: https://github.com/mudler/LocalAI/pull/4204
• Oct 2024: examples moved to LocalAI-examples
• Aug 2024: 🆕 FLUX-1, P2P Explorer
• July 2024: 🔥🔥 🆕 P2P Dashboard, LocalAI Federated mode and AI Swarms: https://github.com/mudler/LocalAI/pull/2723. P2P Global community pools: https://github.com/mudler/LocalAI/issues/3113
• May 2024: 🔥🔥 Decentralized P2P llama.cpp: https://github.com/mudler/LocalAI/pull/2343 (peer2peer llama.cpp!) 👉 Docs https://localai.io/features/distribute/
• May 2024: 🔥🔥 Distributed inferencing: https://github.com/mudler/LocalAI/pull/2324
• April 2024: Reranker API: https://github.com/mudler/LocalAI/pull/2121

Roadmap items: List of issues

🔥🔥 Hot topics (looking for help):

• Multimodal with vLLM and Video understanding: https://github.com/mudler/LocalAI/pull/3729
• Realtime API https://github.com/mudler/LocalAI/issues/3714
• WebUI improvements: https://github.com/mudler/LocalAI/issues/2156
• Backends v2: https://github.com/mudler/LocalAI/issues/1126
• Improving UX v2: https://github.com/mudler/LocalAI/issues/1373
• Assistant API: https://github.com/mudler/LocalAI/issues/1273
• Vulkan: https://github.com/mudler/LocalAI/issues/1647
• Anthropic API: https://github.com/mudler/LocalAI/issues/1808

If you want to help and contribute, issues up for grabs: https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22up+for+grabs%22

🚀 Features

• 📖 Text generation with GPTs (llama.cpp, transformers, vllm ... 📖 and more)
• 🗣 Text to Audio
• 🔈 Audio to Text (Audio transcription with whisper.cpp)
• 🎨 Image generation
• 🔥 OpenAI-alike tools API
• 🧠 Embeddings generation for vector databases
• ✍️ Constrained grammars
• 🖼️ Download Models directly from Huggingface
• 🥽 Vision API
• 📈 Reranker API
• 🆕🖧 P2P Inferencing
• 🔊 Voice activity detection (Silero-VAD support)
• 🌍 Integrated WebUI!

💻 Usage

Check out the Getting started section in our documentation.

🔗 Community and integrations

Build and deploy custom containers:

• https://github.com/sozercan/aikit

WebUIs:

• https://github.com/Jirubizu/localai-admin
• https://github.com/go-skynet/LocalAI-frontend
• QA-Pilot(An interactive chat project that leverages LocalAI LLMs for rapid understanding and navigation of GitHub code repository) https://github.com/reid41/QA-Pilot

Model galleries

• https://github.com/go-skynet/model-gallery

Other:

• Helm chart https://github.com/go-skynet/helm-charts
• VSCode extension https://github.com/badgooooor/localai-vscode-plugin
• Langchain: https://python.langchain.com/docs/integrations/providers/localai/
• Terminal utility https://github.com/djcopley/ShellOracle
• Local Smart assistant https://github.com/mudler/LocalAGI
• Home Assistant https://github.com/sammcj/homeassistant-localai / https://github.com/drndos/hass-openai-custom-conversation / https://github.com/valentinfrlch/ha-gpt4vision
• Discord bot https://github.com/mudler/LocalAGI/tree/main/examples/discord
• Slack bot https://github.com/mudler/LocalAGI/tree/main/examples/slack
• Shell-Pilot(Interact with LLM using LocalAI models via pure shell scripts on your Linux or MacOS system) https://github.com/reid41/shell-pilot
• Telegram bot https://github.com/mudler/LocalAI/tree/master/examples/telegram-bot
• Another Telegram Bot https://github.com/JackBekket/Hellper
• Auto-documentation https://github.com/JackBekket/Reflexia
• Github bot which answer on issues, with code and documentation as context https://github.com/JackBekket/GitHelper
• Github Actions: https://github.com/marketplace/actions/start-localai
• Examples: https://github.com/mudler/LocalAI/tree/master/examples/

🔗 Resources

• LLM finetuning guide
• How to build locally
• How to install in Kubernetes
• Projects integrating LocalAI
• How tos section (curated by our community)

📖 🎥 Media, Blogs, Social

• Run Visual studio code with LocalAI (SUSE)
• 🆕 Run LocalAI on Jetson Nano Devkit
• Run LocalAI on AWS EKS with Pulumi
• Run LocalAI on AWS
• Create a slackbot for teams and OSS projects that answer to documentation
• LocalAI meets k8sgpt
• Question Answering on Documents locally with LangChain, LocalAI, Chroma, and GPT4All
• Tutorial to use k8sgpt with LocalAI

Citation

If you utilize this repository, data in a downstream project, please consider citing it with:

@misc{localai,
  author = {Ettore Di Giacinto},
  title = {LocalAI: The free, Open source OpenAI alternative},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/go-skynet/LocalAI}},

❤️ Sponsors

Do you find LocalAI useful?

Support the project by becoming a backer or sponsor. Your logo will show up here with a link to your website.

A huge thank you to our generous sponsors who support this project covering CI expenses, and our Sponsor list:

🌟 Star history

📖 License

LocalAI is a community-driven project created by Ettore Di Giacinto.

MIT - Author Ettore Di Giacinto mudler@localai.io

🙇 Acknowledgements

LocalAI couldn't have been built without the help of great software already available from the community. Thank you!

• llama.cpp
• https://github.com/tatsu-lab/stanford_alpaca
• https://github.com/cornelk/llama-go for the initial ideas
• https://github.com/antimatter15/alpaca.cpp
• https://github.com/EdVince/Stable-Diffusion-NCNN
• https://github.com/ggerganov/whisper.cpp
• https://github.com/rhasspy/piper

🤗 Contributors

This is a community project, a special thanks to our contributors! 🤗