🤖 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 ggml, gguf, GPTQ, onnx, TF compatible models: llama, llama2, rwkv, whisper, vicuna, koala, cerebras, falcon, dolly, starcoder, and many others
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Sertaç Özercan a670318a9f
feat: auto select llama-cpp cuda runtime (#2306)
* auto select cpu variant

Signed-off-by: Sertac Ozercan <sozercan@gmail.com>

* remove cuda target for now

Signed-off-by: Sertac Ozercan <sozercan@gmail.com>

* fix metal

Signed-off-by: Sertac Ozercan <sozercan@gmail.com>

* fix path

Signed-off-by: Sertac Ozercan <sozercan@gmail.com>

* cuda

Signed-off-by: Sertac Ozercan <sozercan@gmail.com>

* auto select cuda

Signed-off-by: Sertac Ozercan <sozercan@gmail.com>

* update test

Signed-off-by: Sertac Ozercan <sozercan@gmail.com>

* select CUDA backend only if present

Signed-off-by: mudler <mudler@localai.io>

* ci: keep cuda bin in path

Signed-off-by: mudler <mudler@localai.io>

* Makefile: make dist now builds also cuda

Signed-off-by: mudler <mudler@localai.io>

* Keep pushing fallback in case auto-flagset/nvidia fails

There could be other reasons for which the default binary may fail. For example we might have detected an Nvidia GPU,
however the user might not have the drivers/cuda libraries installed in the system, and so it would fail to start.

We keep the fallback of llama.cpp at the end of the llama.cpp backends to try to fallback loading in case things go wrong

Signed-off-by: mudler <mudler@localai.io>

* Do not build cuda on MacOS

Signed-off-by: mudler <mudler@localai.io>

* cleanup

Signed-off-by: Sertac Ozercan <sozercan@gmail.com>

* Apply suggestions from code review

Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>

---------

Signed-off-by: Sertac Ozercan <sozercan@gmail.com>
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Signed-off-by: mudler <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: mudler <mudler@localai.io>
2024-05-14 19:40:18 +02:00
.github feat: auto select llama-cpp cuda runtime (#2306) 2024-05-14 19:40:18 +02:00
.vscode feat: first pass at improving logging (#1956) 2024-04-04 09:24:22 +02:00
aio feat(aio): switch to llama3-based for LLM (#2225) 2024-05-03 00:41:45 +02:00
backend feat(llama.cpp): add flash_attention and no_kv_offloading (#2310) 2024-05-13 19:07:51 +02:00
configuration refactor: move remaining api packages to core (#1731) 2024-03-01 16:19:53 +01:00
core feat(functions): allow to set JSON matcher (#2319) 2024-05-14 09:39:20 +02:00
custom-ca-certs feat(certificates): add support for custom CA certificates (#880) 2023-11-01 20:10:14 +01:00
docs Update openai-functions.md 2024-05-10 17:09:51 +02:00
embedded fix: security scanner warning noise: error handlers part 1 (#2141) 2024-04-26 10:34:31 +02:00
examples docs: Update semantic-todo/README.md (#2294) 2024-05-12 09:02:11 +02:00
gallery models(gallery): add orthocopter (#2313) 2024-05-13 18:45:58 +02:00
internal feat: cleanups, small enhancements 2023-07-04 18:58:19 +02:00
models Add docker-compose 2023-04-13 01:13:14 +02:00
pkg feat: auto select llama-cpp cuda runtime (#2306) 2024-05-14 19:40:18 +02:00
prompt-templates Requested Changes from GPT4ALL to Luna-AI-Llama2 (#1092) 2023-09-22 11:22:17 +02:00
swagger feat(swagger): update swagger (#2302) 2024-05-12 21:00:18 +00:00
tests fix: security scanner warning noise: error handlers part 2 (#2145) 2024-04-29 15:11:42 +02:00
.dockerignore feat: migrate python backends from conda to uv (#2215) 2024-05-10 15:08:08 +02:00
.editorconfig feat(stores): Vector store backend (#1795) 2024-03-22 21:14:04 +01:00
.env Update .env 2024-04-28 23:56:10 +02:00
.gitattributes Create .gitattributes to force git clone to keep the LF line endings on .sh files (#838) 2023-07-30 15:27:43 +02:00
.gitignore feat: migrate python backends from conda to uv (#2215) 2024-05-10 15:08:08 +02:00
.gitmodules docs/examples: enhancements (#1572) 2024-01-18 19:41:08 +01:00
.yamllint fix: yamlint warnings and errors (#2131) 2024-04-25 17:25:56 +00:00
assets.go feat: Update gpt4all, support multiple implementations in runtime (#472) 2023-06-01 23:38:52 +02:00
CONTRIBUTING.md Update CONTRIBUTING.md 2024-04-12 15:27:40 +02:00
docker-compose.yaml fix(docker-compose): update docker compose file (#1824) 2024-03-13 17:57:45 +01:00
Dockerfile feat: migrate python backends from conda to uv (#2215) 2024-05-10 15:08:08 +02:00
Dockerfile.aio feat(aio): entrypoint, update workflows (#1872) 2024-03-21 22:09:04 +01:00
Earthfile Rename project to LocalAI (#35) 2023-04-19 18:43:10 +02:00
Entitlements.plist Feat: OSX Local Codesigning (#1319) 2023-11-23 15:22:54 +01:00
entrypoint.sh fix: use exec in entrypoint scripts to fix signal handling (#1943) 2024-04-02 09:15:44 +02:00
go.mod feat: auto select llama-cpp cpu variant (#2305) 2024-05-13 11:37:52 +02:00
go.sum feat: auto select llama-cpp cuda runtime (#2306) 2024-05-14 19:40:18 +02:00
LICENSE docs/examples: enhancements (#1572) 2024-01-18 19:41:08 +01:00
main.go fix: security scanner warning noise: error handlers part 1 (#2141) 2024-04-26 10:34:31 +02:00
Makefile feat: auto select llama-cpp cuda runtime (#2306) 2024-05-14 19:40:18 +02:00
README.md Update readme: add ShellOracle to community integrations (#2254) 2024-05-07 08:39:58 +02:00
renovate.json ci: manually update deps 2023-05-04 15:01:29 +02:00
SECURITY.md Create SECURITY.md 2024-02-29 19:53:04 +01:00



LocalAI

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LocalAI is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API thats 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.

🔥🔥 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

💻 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

🚀 Features

💻 Usage

Check out the Getting started section in our documentation.

🔗 Community and integrations

Build and deploy custom containers:

WebUIs:

Model galleries

Other:

🔗 Resources

📖 🎥 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}},

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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:

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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

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📖 License

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

MIT - Author Ettore Di Giacinto

🙇 Acknowledgements

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

🤗 Contributors

This is a community project, a special thanks to our contributors! 🤗