I agree. I want to be able to get smaller models which are complete, contained, products which we can run on-prem for our organization.

I'll take a model specialized in web scraping. Give me one trained on generating report and documentation templates (I'd commit felonies for one which could spit out a near-conplete report for SSRS).

Models trained for specific helpdesk tasks ("install a printer", "grant this user access to these services with this permission level").

A model for analyzing network traffic and identifying specific patterns.

None of these things should require titanic models nearing trillions of parameters.