I guess the question is what is the order we’re talking about for requiring to step up to more parameters? I understand its in billions of parameters and that they are basically the weights between the data it was trained on and is used to predict words (I think of it as a big weight map), so like you can expect “sharp sword” more often than “asprin sword.”
Is there a limit to the data-size used to train the model to the point that you’ll hit a plateau? Like, I imagine training against Shakespire would be harder than Poe because of all the made up words Shakespire uses. I’d probably train Shakespire with his works + wikis and discussions on his work.
I know that’s kind of all over the place, I’m kind of fumbling at the topic trying to get a grasp so I can start prying it open.
you pick the biggest one, it’s almost always the best unless it was truely a shitty trained model, a really well trained 30b with a 120b version 120b will be better, unless you mean by “can run them all” you mean can run full quant 7b and q1_k_m 120b lol