🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted 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. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference https://localai.io
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Ettore Di Giacinto ac4a94dd44
feat(build): bundle libs for arm64 and x86 linux binaries (#2572)
This PR bundles further libs into the arm64 and x86_64 binaries

This can be improved by a lot - it's far from perfect, however in this PR I wanted to collect the required libs, and give a simple baseline to improve later upon. It is quite challenging to do this exercise with CI only - but it's the fastest way I see now. 

I hope that after the list is initially built we can further improve this down the line and remove some of the technical debt left here to speedup things and do not get stuck in the middle of CI cycles.

In this PR:

- The x86_64 binary now bundles hipblas, nvidia and intel libraries too to avoid any dependency to be installed in the host
- Similarly, for the arm64 we now bundle all the required assets

## What's left

We should be also able to cross-compile Nvidia for arm64 - however I didn't succeed so far so I've left that open. Similarly I might have missed some libraries, but we will see with bug reports and testing around with the new binaries. I've tested on my arm64 board and I could finally start things up.

An open point still is shipping libraries for e.g. tts and stablediffusion. this is not done yet, however with the same methodology we should be able to extend support also for these two backends in the binary.
2024-06-16 09:10:44 +02:00
.github feat(build): bundle libs for arm64 and x86 linux binaries (#2572) 2024-06-16 09:10:44 +02:00
.vscode feat: first pass at improving logging (#1956) 2024-04-04 09:24:22 +02:00
aio models(gallery): add mistral-0.3 and command-r, update functions (#2388) 2024-05-23 19:16:08 +02:00
backend bugfix: CUDA acceleration not working (#2475) 2024-06-03 22:41:42 +02:00
configuration refactor: move remaining api packages to core (#1731) 2024-03-01 16:19:53 +01:00
core feat(guesser): identify gemma models (#2561) 2024-06-13 19:12:37 +02:00
custom-ca-certs feat(certificates): add support for custom CA certificates (#880) 2023-11-01 20:10:14 +01:00
docs Fix standard image latest Docker tags (#2574) 2024-06-15 22:08:30 +02:00
embedded fix: pkg/downloader should respect basePath for file:// urls (#2481) 2024-06-04 14:32:47 +00:00
examples docs: Update semantic-todo/README.md (#2294) 2024-05-12 09:02:11 +02:00
gallery models(gallery): add firefly-gemma-7b (#2576) 2024-06-15 23:07:20 +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(darwin): embed grpc libs (#2567) 2024-06-14 08:51:25 +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 (#2464) 2024-06-01 22:04:01 +00:00
tests test: e2e /reranker endpoint (#2211) 2024-06-07 18:45:52 +00:00
.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 feat(llama.cpp): add distributed llama.cpp inferencing (#2324) 2024-05-15 01:17:02 +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(gallery): show available models in website, allow local-ai models install to install from galleries (#2555) 2024-06-13 00:47:16 +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 chore(deps): Update Dockerfile (#2532) 2024-06-10 08:40:02 +00:00
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(llama.cpp): guess model defaults from file (#2522) 2024-06-08 22:13:02 +02:00
go.sum feat(llama.cpp): guess model defaults from file (#2522) 2024-06-08 22:13:02 +02:00
LICENSE docs/examples: enhancements (#1572) 2024-01-18 19:41:08 +01:00
main.go feat(util): add util command to print GGUF informations (#2528) 2024-06-09 19:27:42 +02:00
Makefile ⬆️ Update ggerganov/llama.cpp (#2575) 2024-06-15 23:45:10 +00:00
README.md Add integrations (#2535) 2024-06-10 19:18:47 +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.

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docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
# Alternative images:
# - 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
# - without preconfigured models
# docker run -ti --name local-ai -p 8080:8080 localai/localai:latest
# - without preconfigured models for Nvidia GPUs
# docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-12 

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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

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Check out the Getting started section in our documentation.

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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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📖 License

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

MIT - Author Ettore Di Giacinto mudler@localai.io

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