found an answer.
"There's no point in releasing a poorly done model, and to do so for the sake of popularity would be despicable. My goal is to achieve indistinguishability, which I certainly know is possible. Anything short of near-perfection is unacceptable. "
I do plan to compile and publish my findings in the future, but nothing is set in stone yet. I know that the model can be improved even further, and I'd prefer to be as comprehensive as possible.
AI and ML users are massively benefiting from open source but too often refuse to release their data. It's like we're back in the middle ages and alchemy is back in style.
I was talking about ML in general, not just this project. See OpenAI and their latest release for example: no public product, no trained model. Just alchemy.