all-in-one/community-containers/local-ai

Local AI

This container bundles Local AI and auto-configures it for you.

Notes

• Make sure to have enough storage space available. This container alone needs ~14GB storage on x64, on arm64 only ~4GB. Every model that you add to models.yaml will of course use additional space which adds up quite fast.
• After the container was started the first time, you should see a new nextcloud-aio-local-ai folder when you open the files app with the default admin user. In there you should see a models.yaml config file. You can now add models in there. Please refer here where you can get further urls that you can put in there. Afterwards restart all containers from the AIO interface and the models should automatically get downloaded by the local-ai container and activated.
• Example for content of models.yaml (if you add all of them, it takes around 10GB additional space):

# Stable Diffusion in NCNN with c++, supported txt2img and img2img 
- url: github:go-skynet/model-gallery/stablediffusion.yaml

# Port of OpenAI's Whisper model in C/C++ 
- url: github:go-skynet/model-gallery/whisper-base.yaml
  name: whisper-1

# A commercially licensable model based on GPT-J and trained by Nomic AI on the v0 GPT4All dataset.
- url: github:go-skynet/model-gallery/gpt4all-j.yaml
  name: gpt4all-j

• Additionally after doing so, you might want to enable or disable specific features for your models in the integration_openai settings: https://your-nc-domain.com/settings/admin/connected-accounts
• See https://github.com/nextcloud/all-in-one/tree/main/community-containers#community-containers how to add it to the AIO stack

Repository

https://github.com/szaimen/aio-local-ai

Maintainer

https://github.com/szaimen