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linearalgebra45

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linearalgebra45
·3 anni fa·discuss
"prompting experiments" is just my use-case. According to v64 a lot of people have had the same idea of spinning up a trial instance to run inference, which is unsurprising.

I'm not in a position to put in any meaningful work towards optimising this model for lower-end hardware, or working on the tooling/documentation/user experience.
linearalgebra45
·3 anni fa·discuss
Would you mind publishing your notes/learnings once you gain enough understanding of this model?
linearalgebra45
·3 anni fa·discuss
> not the 65G model, but the smaller ones

Haha, that's right! I saw that one too
linearalgebra45
·3 anni fa·discuss
What instance are you using?
linearalgebra45
·3 anni fa·discuss
You only get a single month-long window to spend the credit! And I'm sure not going to spend any of my own money on prompting experiments.

I might be suffering from FOMO to some degree, I've just got to tell myself that this won't have been the only time model weights get leaked!
linearalgebra45
·3 anni fa·discuss
Are you sure about that? I can't remember where I saw the table of memory requirements, but I'm sure some of the larger instances here [1] will surely be able to cope (assuming they're available!)

Oracle gives you a $300 free trial, which equates to running BM.GPU4.8 for over 10 hours - enough for a focused day of prompting

[1] https://www.oracle.com/cloud/compute/gpu/
linearalgebra45
·3 anni fa·discuss
It's been enough time since this leaked, so my question is why aren't there blog posts already of people blowing their $300 of starter credit with ${cloud_provider} on a few hours' experimentation running inference on this 65B model?

Edit: I read the linked README.

> I was impatient and curious to try to run 65B on an 8xA100 cluster

Well?
linearalgebra45
·3 anni fa·discuss
Hypothetically, what would the consequences be if I ran this on my university's computing cluster?