LocalAI
> :bulb: Get help - [βFAQ](https://localai.io/faq/) [πDiscussions](https://github.com/go-skynet/LocalAI/discussions) [:speech_balloon: Discord](https://discord.gg/uJAeKSAGDy) [:book: Documentation website](https://localai.io/)
>
> [π» Quickstart](https://localai.io/basics/getting_started/) [π£ News](https://localai.io/basics/news/) [ π« Examples ](https://github.com/go-skynet/LocalAI/tree/master/examples/) [ πΌοΈ Models ](https://localai.io/models/)
[](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml)[](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml)[](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)[](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml)[](https://artifacthub.io/packages/search?repo=localai)
**LocalAI** is a drop-in replacement REST API that's compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families that are compatible with the ggml format, pytorch and more. Does not require GPU.
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In a nutshell:
- Local, OpenAI drop-in alternative REST API. You own your data.
- NO GPU required. NO Internet access is required either
- Optional, GPU Acceleration is available in `llama.cpp`-compatible LLMs. See also the [build section](https://localai.io/basics/build/index.html).
- Supports multiple models
- π Once loaded the first time, it keep models loaded in memory for faster inference
- β‘ Doesn't shell-out, but uses C++ bindings for a faster inference and better performance.
LocalAI was created by [Ettore Di Giacinto](https://github.com/mudler/) and is a community-driven project, focused on making the AI accessible to anyone. Any contribution, feedback and PR is welcome!
Note that this started just as a [fun weekend project](https://localai.io/#backstory) in order to try to create the necessary pieces for a full AI assistant like `ChatGPT`: the community is growing fast and we are working hard to make it better and more stable. If you want to help, please consider contributing (see below)!
## π₯π₯ [Hot topics / Roadmap](https://localai.io/#-hot-topics--roadmap)
## π [Features](https://localai.io/features/)
- π [Text generation with GPTs](https://localai.io/features/text-generation/) (`llama.cpp`, `gpt4all.cpp`, ... [:book: and more](https://localai.io/model-compatibility/index.html#model-compatibility-table))
- π£ [Text to Audio](https://localai.io/features/text-to-audio/)
- π [Audio to Text](https://localai.io/features/audio-to-text/) (Audio transcription with `whisper.cpp`)
- π¨ [Image generation with stable diffusion](https://localai.io/features/image-generation)
- π₯ [OpenAI functions](https://localai.io/features/openai-functions/) π
- π§ [Embeddings generation for vector databases](https://localai.io/features/embeddings/)
- βοΈ [Constrained grammars](https://localai.io/features/constrained_grammars/)
- πΌοΈ [Download Models directly from Huggingface ](https://localai.io/models/)
## :book: π₯ [Media, Blogs, Social](https://localai.io/basics/news/#media-blogs-social)
- [Create a slackbot for teams and OSS projects that answer to documentation](https://mudler.pm/posts/smart-slackbot-for-teams/)
- [LocalAI meets k8sgpt](https://www.youtube.com/watch?v=PKrDNuJ_dfE)
- [Question Answering on Documents locally with LangChain, LocalAI, Chroma, and GPT4All](https://mudler.pm/posts/localai-question-answering/)
- [Tutorial to use k8sgpt with LocalAI](https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65)
## π» Usage
Check out the [Getting started](https://localai.io/basics/getting_started/index.html) section in our documentation.
### π‘ Example: Use GPT4ALL-J model
See the [documentation](https://localai.io/basics/getting_started/#example-use-gpt4all-j-model-with-docker-compose)
### π Resources
- [How to build locally](https://localai.io/basics/build/index.html)
- [How to install in Kubernetes](https://localai.io/basics/getting_started/index.html#run-localai-in-kubernetes)
- [Projects integrating LocalAI](https://localai.io/integrations/)
## 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}},
```
## β€οΈ Sponsors
> Do you find LocalAI useful?
Support the project by becoming [a backer or sponsor](https://github.com/sponsors/mudler). 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](https://www.spectrocloud.com/) |
| Spectro Cloud kindly supports LocalAI by providing GPU and computing resources to run tests on lamdalabs! |
## π Star history
[](https://star-history.com/#go-skynet/LocalAI&Date)
## π License
LocalAI is a community-driven project created by [Ettore Di Giacinto](https://github.com/mudler/).
MIT - Author Ettore Di Giacinto
## π 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/ggerganov/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
- https://github.com/cmp-nct/ggllm.cpp
## π€ Contributors
This is a community project, a special thanks to our contributors! π€
