It depends a lot on what you're trying to do. If have a focused use case of the type of fine-tuning you want, you can probably get away with one of the smaller models.
Another thing to look out for is Retrieval Augmented Generation (RAG). I don't see it in wide use yet, but it may turn out to more useful than fine tuning for a lot of situations.