🤖 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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Ettore Di Giacinto 5d1018495f
feat(intel): add diffusers/transformers support (#1746)
* feat(intel): add diffusers support

* try to consume upstream container image

* Debug

* Manually install deps

* Map transformers/hf cache dir to modelpath if not specified

* fix(compel): update initialization, pass by all gRPC options

* fix: add dependencies, implement transformers for xpu

* base it from the oneapi image

* Add pillow

* set threads if specified when launching the API

* Skip conda install if intel

* defaults to non-intel

* ci: add to pipelines

* prepare compel only if enabled

* Skip conda install if intel

* fix cleanup

* Disable compel by default

* Install torch 2.1.0 with Intel

* Skip conda on some setups

* Detect python

* Quiet output

* Do not override system python with conda

* Prefer python3

* Fixups

* exllama2: do not install without conda (overrides pytorch version)

* exllama/exllama2: do not install if not using cuda

* Add missing dataset dependency

* Small fixups, symlink to python, add requirements

* Add neural_speed to the deps

* correctly handle model offloading

* fix: device_map == xpu

* go back at calling python, fixed at dockerfile level

* Exllama2 restricted to only nvidia gpus

* Tokenizer to xpu
2024-03-07 14:37:45 +01:00
.github feat(intel): add diffusers/transformers support (#1746) 2024-03-07 14:37:45 +01:00
.vscode feat: Add more test-cases and remove dev container (#433) 2023-05-30 13:01:55 +02:00
backend feat(intel): add diffusers/transformers support (#1746) 2024-03-07 14:37:45 +01:00
configuration refactor: move remaining api packages to core (#1731) 2024-03-01 16:19:53 +01:00
core feat(intel): add diffusers/transformers support (#1746) 2024-03-07 14:37:45 +01:00
custom-ca-certs feat(certificates): add support for custom CA certificates (#880) 2023-11-01 20:10:14 +01:00
docs Edit links in readme and integrations page (#1796) 2024-03-05 10:14:30 +01:00
embedded examples(mistral-openorca): add stopword 2024-02-22 00:15:08 +01:00
examples refactor: move remaining api packages to core (#1731) 2024-03-01 16:19:53 +01:00
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(intel): add diffusers/transformers support (#1746) 2024-03-07 14:37:45 +01:00
prompt-templates Requested Changes from GPT4ALL to Luna-AI-Llama2 (#1092) 2023-09-22 11:22:17 +02:00
tests refactor: move remaining api packages to core (#1731) 2024-03-01 16:19:53 +01:00
.dockerignore Remove .git from .dockerignore 2023-07-06 21:25:10 +02:00
.env feat: initial watchdog implementation (#1341) 2023-11-26 18:36:23 +01:00
.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 refactor: move remaining api packages to core (#1731) 2024-03-01 16:19:53 +01:00
.gitmodules docs/examples: enhancements (#1572) 2024-01-18 19:41:08 +01:00
assets.go feat: Update gpt4all, support multiple implementations in runtime (#472) 2023-06-01 23:38:52 +02:00
CONTRIBUTING.md Add the CONTRIBUTING.md (#1098) 2023-09-24 14:54:55 +02:00
docker-compose.yaml fix: update docker-compose.yaml (#1131) 2023-10-05 22:13:18 +02:00
Dockerfile feat(intel): add diffusers/transformers support (#1746) 2024-03-07 14:37:45 +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 feat: Use ubuntu as base for container images, drop deprecated ggml-transformers backends (#1689) 2024-02-08 20:12:51 +01:00
go.mod refactor: move remaining api packages to core (#1731) 2024-03-01 16:19:53 +01:00
go.sum refactor: move remaining api packages to core (#1731) 2024-03-01 16:19:53 +01:00
LICENSE docs/examples: enhancements (#1572) 2024-01-18 19:41:08 +01:00
main.go refactor: move remaining api packages to core (#1731) 2024-03-01 16:19:53 +01:00
Makefile feat(intel): add diffusers/transformers support (#1746) 2024-03-07 14:37:45 +01:00
README.md Edit links in readme and integrations page (#1796) 2024-03-05 10:14:30 +01:00
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 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.

🔥🔥 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 instance with phi-2 using docker:

docker run -ti -p 8080:8080 localai/localai:v2.9.0-ffmpeg-core phi-2

🚀 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}},

❤️ 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:

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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

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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! 🤗