this post was submitted on 12 Oct 2024
182 points (95.5% liked)

Selfhosted

39960 readers
614 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
ruud
Loki
CannaVet
devve
HybridSarcasm
[email protected]
182
Self-GPT: Open WebUI + Ollama = Self Hosted ChatGPT (sh.itjust.works)
submitted 3 weeks ago by [email protected] to c/selfhosted
51 comments fedilink hide all child comments
 

Instructions here: https://github.com/ghobs91/Self-GPT

If you’ve ever wanted a ChatGPT-style assistant but fully self-hosted and open source, Self-GPT is a handy script that bundles Open WebUI (chat interface front end) with Ollama (LLM backend).

  • Privacy & Control: Unlike ChatGPT, everything runs locally, so your data stays with you—great for those concerned about data privacy.
  • Cost: Once set up, self-hosting avoids monthly subscription fees. You’ll need decent hardware (ideally a GPU), but there’s a range of model sizes to fit different setups.
  • Flexibility: Open WebUI and Ollama support multiple models and let you switch between them easily, so you’re not locked into one provider.
you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 1 points 2 weeks ago (1 children)

Someone recently referred me to this blog post about using RAG in open-webui. I have not tested if but the author seems to reach a good setup.

https://medium.com/@kelvincampelo/how-ive-optimized-document-interactions-with-open-webui-and-rag-a-comprehensive-guide-65d1221729eb

Perhaps this is of use to you?

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

Thank you! Very useful. I am, again, surprised how a better way of asking questions affects the answers almost as much as using a better model.

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

Indeed, quite surprising. You got to "stroke their fur the right way" so to speak haha

Also, I'm increasingly more impressed with the rapid progress reaching open-weights models: initially I was playing with Llama3.1-8B which is already quite useful for simple querries. Then lately I've been trying out Mistral-Nemo (12B) and Mistrall-Small (22B) and they are quite much more capable. I have a 12GB GPU and so far those are the most powerful models I can run decently. I'm using them to help me in writing tasks for ansible, learning the inner workings of the Linux kernel and some bootloader stuff. I find them quite helpful!

[–] [email protected] 2 points 2 weeks ago

I'm just in the beginning, but my plan is to use it to evaluate policy docs. There is so much context to keep up with, so any way to load more context into the analysis will be helpful. Learning how to add excel information in the analysis will also be a big step forward.

I will have to check out Mistral:) So far Qwen2.5 14B has been the best at providing analysis of my test scenario. But i guess an even higher parameter model will have its advantages.