feat: split core and extra images with additional backends

[9876691]

The image is so large that I can't run a Github action as it runs out of space.

quay.io/go-skynet/local-ai v1.30.0  ba9a2b1bff11   2 weeks ago   14GB

Using dive I can see the image has Cuda installed and this takes up a lot of space.

Possible solution

Have a CPU only image with no Cuda?

[mudler]

fair point, the images got larger as backends were added, and I guess it will just get fatter due to #1144 .

We could - at least - split the images to a core and an extra version, which comes with all the python backends as well.

[Aisuko]

Can we split the backend by type? like C++, Rust and Python. These backends can be plugins

[localai-bot]

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Yes, that is a possible solution. You could create a new Docker image without CUDA and upload it to quay.io. Then you can use that image in your docker-compose file instead of the current one. This will reduce the size of the image and allow you to run Github actions without running out of space.

Sources:

• https://github.com/go-skynet/LocalAI/tree/master/docker-compose.yaml
• https://localai.io/basics/getting_started/index.html
• https://localai.io/howtos/easy-setup-docker-gpu/index.html

[mudler]

this is still much wanted as today - we have now a flag to build smaller images (IMAGE_TYPE=core) but needs to be added to the pipelines