How we did it: ML-Intern in HuggingChat ran it end to end.
It wrote 8,797 requests in 18 languages, labelled them with Qwen's OG 9B teacher, filtered, trained both students with TRL, evaluated on text and rendered images, and pushed it all to the Hub.
We just approved a budget and read the report!