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LocalAI is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that’s compatible with OpenAI API specifications for local 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.
- Vector store: mudler#1795
- All-in-one container image: mudler#1855
- Parallel function calling: mudler#1726
- Upload file API: mudler#1703
- Tools API support: mudler#1715
- LLaVa 1.6: mudler#1714
- ROCm container images: mudler#1595
- Intel GPU support (sycl, transformers, diffusers): mudler#1653
- Mamba support: mudler#1589
- Start and share models with config file: mudler#1522
- 🐸 Coqui: mudler#1489
- Img2vid mudler#1442
Hot topics (looking for contributors):
- 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
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 instance with phi-2 using docker:
docker run -ti -p 8080:8080 localai/localai:v2.9.0-ffmpeg-core phi-2
🚀 Features
- 📖 Text generation with GPTs (
llama.cpp,gpt4all.cpp, ... 📖 and more) - 🗣 Text to Audio
- 🔈 Audio to Text (Audio transcription with
whisper.cpp) - 🎨 Image generation with stable diffusion
- 🔥 OpenAI functions 🆕
- 🧠 Embeddings generation for vector databases
- ✍️ Constrained grammars
- 🖼️ Download Models directly from Huggingface
- 🆕 Vision 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
- 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/
- 🆕 New! LLM finetuning guide
- How to build locally
- How to install in Kubernetes
- Projects integrating LocalAI
- How tos section (curated by our community)
- 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! 🤗