This is very cool. Love the trend of optimizing small models

I’ve been working on small local models and it’s amazing how fast the tech has progressed

A year ago, I was creating conversational characters by finetuning a qwen 2.5 0.5b param model, and it worked pretty well. But no reasoning or math capabilities, and still required some decent specs to run; could maybe do well enough in a beefy raspberry pi

But now, I have a locally trained 6.5M param model that does reasoning, solves multi-step math problems, does simple physics problem simulation, tool calling, RAG and conversational chat. Total size about 30MB packaged for ONNX, and runs with <10ms latency in the browser