this post was submitted on 04 May 2025
-55 points (21.6% liked)

Selfhosted

61544 readers
838 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:

Detailed Rules Post

  1. Be civil.

  2. No spam.

  3. Posts are to be related to self-hosting.

  4. Don't duplicate the full text of your blog or readme if you're providing a link.

  5. Submission headline should match the article title.

  6. No trolling.

  7. Promotion posts require active participation, with an account that is at least 30 days old. F/LOSS without a paywall has exceptions, with requirements. See the rules link for details. Tags [CBH] or [AIP] are required, see the links in Rule 8 for details.

  8. AI-related discussions and AI-involved promotional posts have additional requirements for tagging, as noted in Rule 7 and the AI & Promotional Post Expanded Rules post, and find example disclosures here.

Resources:

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

Questions? DM the mods!

founded 3 years ago
MODERATORS
 

Why do people host LLMs at home when processing the same amount of data from the internet to train their LLM will never be even a little bit as efficient as sending a paid prompt to some high quality official model?

inb4 privacy concerns or a proof of concept

this is out of discussion, I want someone to prove his LLM can be as insightful and accurate as paid one. I don't care about anything else than quality of generated answers

you are viewing a single comment's thread
view the rest of the comments
[–] TheYang@lemmy.world 9 points 1 year ago

Because you don't train your self-hosted LLM.
As a result you only pay for the electricity of computing your tokens (your request), this can be especially reasonable if the same machine also does local game streaming and or transcoding, and thus already has the requirements to host a LLM.

If you don't have rather unreasonable means, your local LLM is just very much more limited in parameters (size), and will not be as good as other, much larger models.

Privacy, Ethics and personal interest usually are the largest drivers from what I can tell.