Thanks for sharing! I'm exploring a similar direction, but optimising for extreme model size. I have gotten an LLM down to 970 KB, with some interesting results compared to GPT-2 (small).
This is extremely interesting, do you have a public repo or write up to share or not yet? if not yet please sign me up when you release it, Cheers!
Super interesting, not a CS/AI guy here, but I'm curious as to how you can train such a small-sized model give you as accurate an answer or good hypotheses to get you going