π‘ Get help - βFAQ πDiscussions π¬ Discord π Documentation website
π» Quickstart π£ News π« Examples πΌοΈ Models π Roadmap
LocalAI is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API thatβs 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.
- Function calls without grammars and mixed mode: mudler#2328
- Distributed inferencing: mudler#2324
- Chat, TTS, and Image generation in the WebUI: mudler#2222
- Reranker API: mudler#2121
Hot topics (looking for contributors):
- WebUI improvements: mudler#2156
- Backends v2: mudler#1126
- Improving UX v2: mudler#1373
- Assistant API: mudler#1273
- Moderation endpoint: mudler#999
- Vulkan: mudler#1647
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
π» Getting started
For a detailed step-by-step introduction, refer to the Getting Started guide.
For those in a hurry, here's a straightforward one-liner to launch a LocalAI AIO(All-in-one) Image using docker
:
docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
# or, if you have an Nvidia GPU:
# docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-aio-gpu-nvidia-cuda-12
π Features
- π Text generation with GPTs (
llama.cpp
,gpt4all.cpp
, ... π and more) - π£ Text to Audio
- π Audio to Text (Audio transcription with
whisper.cpp
) - π¨ Image generation with stable diffusion
- π₯ OpenAI functions π
- π§ Embeddings generation for vector databases
- βοΈ Constrained grammars
- πΌοΈ Download Models directly from Huggingface
- π₯½ Vision API
- π Reranker API
Check out the Getting started section in our documentation.
Build and deploy custom containers:
WebUIs:
Model galleries
Other:
- Helm chart https://github.com/go-skynet/helm-charts
- VSCode extension https://github.com/badgooooor/localai-vscode-plugin
- 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
- Discord bot https://github.com/mudler/LocalAGI/tree/main/examples/discord
- Slack bot https://github.com/mudler/LocalAGI/tree/main/examples/slack
- Telegram bot https://github.com/mudler/LocalAI/tree/master/examples/telegram-bot
- Examples: https://github.com/mudler/LocalAI/tree/master/examples/
- π New! LLM finetuning guide
- How to build locally
- How to install in Kubernetes
- Projects integrating LocalAI
- How tos section (curated by our community)
π π₯ Media, Blogs, Social
- 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
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}},
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:
Spectro Cloud |
Spectro Cloud kindly supports LocalAI by providing GPU and computing resources to run tests on lamdalabs! |
And a huge shout-out to individuals sponsoring the project by donating hardware or backing the project.
- Sponsor list
- JDAM00 (donating HW for the CI)
LocalAI is a community-driven project created by Ettore Di Giacinto.
MIT - Author Ettore Di Giacinto
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/saharNooby/rwkv.cpp
- https://github.com/rhasspy/piper
This is a community project, a special thanks to our contributors! π€