Skip to content

πŸ€– The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.

License

Notifications You must be signed in to change notification settings

ElenaPolitov001/LocalAI

Β 
Β 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation



LocalAI

LocalAI forks LocalAI stars LocalAI pull-requests

LocalAI Docker hub LocalAI Quay.io

Follow LocalAI_API Join LocalAI Discord Community

πŸ’‘ Get help - ❓FAQ πŸ’­Discussions πŸ’¬ Discord πŸ“– Documentation website

πŸ’» Quickstart πŸ“£ News πŸ›« Examples πŸ–ΌοΈ Models πŸš€ Roadmap

testsBuild and Releasebuild container imagesBump dependenciesArtifact 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 Ettore Di Giacinto.

πŸ”₯πŸ”₯ Hot topics / Roadmap

Roadmap

Hot topics (looking for contributors):

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 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

πŸš€ Features

πŸ’» Usage

Check out the Getting started section in our documentation.

πŸ”— Community and integrations

Build and deploy custom containers:

WebUIs:

Model galleries

Other:

πŸ”— Resources

πŸ“– πŸŽ₯ Media, Blogs, Social

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:

Spectro Cloud logo_600x600px_transparent bg
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.

🌟 Star history

LocalAI Star history Chart

πŸ“– License

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

MIT - Author Ettore Di Giacinto

πŸ™‡ Acknowledgements

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

πŸ€— Contributors

This is a community project, a special thanks to our contributors! πŸ€—

About

πŸ€– The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.

Resources

License

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 55.1%
  • Go 29.8%
  • Python 7.3%
  • Makefile 2.5%
  • HTML 2.0%
  • Shell 1.5%
  • Other 1.8%