this post was submitted on 27 Oct 2023
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[–] [email protected] 12 points 1 year ago (2 children)

The value of gpts is in constant connection and undestanding your context so this is expected. It's also going to be really scary until we can run our own models.

[–] [email protected] 3 points 1 year ago (1 children)

What do you mean by the second part of your comment?

[–] [email protected] 12 points 1 year ago (2 children)

by run his own models he means locally running a text generation ai on his computer, because sending all that data to openai is a privacy nightmare, especially if you use it for sensitive stuff

[–] [email protected] 3 points 1 year ago* (last edited 1 year ago) (2 children)

But that's still confusing because we already can. Yeah you might need a little bit more of hardware but... not that crazy. Plus some simpler models can be run with more normal hardware.

Might not be easy to setup that is true.

[–] [email protected] 5 points 1 year ago (2 children)

For large context models the hardware is prohibitively expensive.

[–] [email protected] 1 points 1 year ago (1 children)

I personally use runpod. It doesn't cost much even for the high end level stuff. Tbh the openai API is easier though and gives mostly better results.

[–] [email protected] 1 points 1 year ago (1 children)

I specifically said "large context" how many tokens can you get through before it goes insanely slow?

[–] [email protected] 1 points 1 year ago

Max token windows are 4k for llama 2 tho there's some fine tunes that push the context up further. Speed is limited by your budget mostly, you can stack GPUs and there are most models available (including the really expensive ones)

I'm just letting you know, If you want something easy, just use ChatGtp. I don't find them overly expensive for what it is.

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

I can run 4bit quantised llama 70B on a pair of 3090s. Or rent gpu server time. It's expensive but not prohibitive.

[–] [email protected] 1 points 1 year ago

I’m trying to get to the point where I can locally run a (slow) LLM that I’ve fed my huge ebook collection too and can ask where to find info on $subject, getting title/page info back. The pdfs that are searchable aren’t too bad but finding a way to ocr the older TIFF scan pdfs and getting it to “see” graphs/images are areas I’m stuck on.

[–] [email protected] 1 points 1 year ago (1 children)

How many tokens can you run it for?

[–] [email protected] 1 points 1 year ago

3k?Can't recall exactly, and I'm getting hardwarestability issues.

[–] [email protected] 1 points 1 year ago (1 children)

you can, but things as good as chatgpt can't be ran on local hardware yet. My main obstacle is language support other then english