Again, I've heard and used the terminology "model hyperparameter" in place of "model parameter", and I've also heard "model parameter" in place of "model hyperparameter" because not every human interaction is a paper on arXiv and the terms are obviously very similar. The context of the term is what matters in the end (as demonstrated by other comments following my correct intent), and society will not crumble if using either term incorrectly in casual conversation. No one intentionally uses the wrong term, but as jokingly said in another comment "when you get really deep into model training, it can seem like there are a billion hyperparameters you have to worry about."

You are the one who asked for my opinion based on my extensive time in AI, you can choose to believe it or not.