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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.

Roadmap

• 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

• 📖 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:

• https://github.com/sozercan/aikit

WebUIs:

• https://github.com/Jirubizu/localai-admin
• https://github.com/go-skynet/LocalAI-frontend

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
• 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! 🤗