@micmc yes, hopefully anythingllm can also come to live in Cloudron

@robw said in ETA for GPU support? Could we contribute to help it along?:

If you already have a centrally managed non-Cloudron Ollama server but you want Cloudron for OpenWebUI front ends

Hey, that's my case 🙂.

Otherwise, I very much think that separating both of the Cloudron packages will be beneficial. Considering all the example use cases you listed, the need is more than justified.

A lot of companies that might deploy Cloudron for its ease of life features don't necessarily have a VPS with a GPU.

Also, (might help you to deepen your Cloudron knowledge) Cloudron packages usually are only one component/application.

Moreover, OpenWebUI is "just" a UI that supports connections to Ollama and isn't affiliated with it. Meaning that Ollama isn't a dependency of it at all.

ok
I think it was RAM issue
when there is no enough RAM. it gives this error.

thanks guys

@micmc agreed i do use it on my computer but i was wanting to let my buddies play with it but hey thanks

This is out now

@chetbaker App is totally unusable and unuseful at this point... Especially for those like me don't have right skills and knowledge to move forward...

thanks I was able to reproduce and fix it. It will be part of the next package update

Awesome, now everything works just fine...salute for cloudron team

We would have to adjust the package to pre-configure the app to use optionally redis. However this is only relevant for multi-instance setups which is anyways not the case for Cloudron and only relevant for instances with many concurrent users, which is likely not the main focus for this app on Cloudron. So so far this optional redis is out of scope.

From the Changelog: Enhanced load balancing capabilities for multiple instance setups

The Open Web UI project initially started out as a Ollama frontend. To run local models, one needs GPU support and Cloudron currently does not have GPU support. Over time, Open Web UI has shifed to be a frontend for OpenAI API compatible services . It is also now possible to configure Ollama in another computer which has a GPU and then point Open Web UI to use that Ollama.

I guess we can mark this as stable since it's still useful while we figure out GPU support in Cloudron.

@vladimir-d In the future, I believe we should let the app handle most of it's configuration, environment-wise.

Variables such as RAG_EMBEDDING_MODEL, etc. are all set via the application UI and saved in the config.json file.

Now, for the initial issue of this topic, I've solved it by resetting the embedding model engine.

@firmansi not needed. apps are packaged as containers that have the right dependencies

LiteLLM is getting fairly mainstream imo (although things are moving very fast) and does more stuff than just accessing other models (load balancing, logging, spending checks…) so have a LiteLLM process started besides OpenWebUI would be useful.
In the meantime, I've followed this specific comment (https://github.com/open-webui/open-webui/issues/3288#issuecomment-2219524566) from the thread and I was able to get the anthropic/claude models with just configuration of openwebui, so that's already a bit of a win.

@Jack-613 this is a Cloudron related forum, so if you are not using OpenWebUI on Cloudron, then you should probably ask in the upstream project instead.

😖