this post was submitted on 22 Mar 2024
68 points (92.5% liked)

Selfhosted

39980 readers
556 users here now

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.

Rules:

  1. Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.

  2. No spam posting.

  3. Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.

  4. Don't duplicate the full text of your blog or github here. Just post the link for folks to click.

  5. Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).

  6. No trolling.

Resources:

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

founded 1 year ago
MODERATORS
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
68
Getting Started with Self Hosted LLM (lemmy.zip)
submitted 7 months ago by [email protected] to c/[email protected]
21 comments fedilink hide all child comments
 

I've been playing around with Ollama in a VM on my machine and it is really useful.

To get started I would start by making sure you have capable hardware. You will need recent hardware so that old computer you have laying around may not be enough. I created a VM on my laptop with KVM and gave it 8gb of ram and 12 cores.

Next, read the readme. You can find the Readme at the github repo

https://github.com/ollama/ollama

Once you run the install script you will need to download models. I would download Llama2, Mistral and LLava. As an example you can pull down llama2 with ollama pull llama2

Ollama models are available in the online repo. You can see all of them here: https://ollama.com/library

Once they are downloaded you need to setup openwebui. First, install docker. I am going to assume you already know how to do that. Once docker is installed pull and deploy open web UI with this command. Notice its a little different than the command in the open web UI docs. docker run -d --net=host -e OLLAMA_BASE_URL="http://localhost:11434 -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main

Notice that the networking is shared with the host. This is needed for the connection. I also am setting the environment variable in order to point open web UI to ollama.

Once that's done open up the host IP on port 8080 and create an account. Once that's done you should be all set.

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 2 points 7 months ago (1 children)

Yeah, I couldn't find that on ollama; but I did find it in text-generation-webui - which is a little more complicated, but for me, I think it might help springboard me into understanding a few more things.

[–] [email protected] 2 points 7 months ago (1 children)

Ollama is just a the backend. You need open web UI or a similar application to use it

[–] [email protected] 2 points 7 months ago (1 children)

Check AnythingLLM out, its just an appimage

[–] [email protected] 1 points 7 months ago (1 children)

Not as maintainable long term and it doesn't have user management

[–] [email protected] 1 points 7 months ago (1 children)
[–] [email protected] 1 points 7 months ago* (last edited 7 months ago) (1 children)

So why is it better than OpenwebUI? It seems like each has there own use case.

I'll give it a try just for fun but it doesn't seem to be better as far as I can tell

[–] [email protected] 1 points 7 months ago

No idea if its better, its the thing I tried and it was pretty seamless to set up. With my aging hardware and AMD GPU, I have been pretty much sitting in the sidelines with this whole LLM thing