So Matt Pocock says models typically are smartest in the first 140k tokens. Hes using the big boy cloud models tho. Does that hold true for 27b-35b range? Or is it smaller and how much?
What would the ‘smart range’ be for tiny models that fit in 2gb? Would be it be like a sentence or two? I have an old 1050 was thinking of throwing in rig but im not sure what id even be able to do with such a small model
I believe Pocock only recommends going up to 100k now, last I heard. But for a lot of simpler tasks 10-20k will be plenty if you don’t have a super long prompt + documentation for it to parse first. Your inputs are really what decide how much context you need.