I'll up the ante. I'll bet you money that nobody forks this and adds fine tuning for at least a year.
And someone else fine-tuned it for German: https://huggingface.co/SebastianBodza/Kartoffelbox-v0.1
I haven't seen this level of involvement for a lot of the models I'm using, including several text to speech models.
The rapidity of this is also quite shocking. I don't think Resemble anticipated this either, given their wording on the aforementioned ticket.
There's probably a lot more work to do to ensure this works, adjusting learning rates, batching, etc., but it's all clearly being put into place and given attention. Even if this model has some finicky fine tuning behaviors, with this kind of willpower it'll be quickly overcome.
I suppose I owe you, haha.
This can be cross-compiled/ported in the Linux analogy. The Linux analogy would be more like: a kernel dev wrote code for some part of the Linux kernel using JetBrains' CLion. He used features of CLion that made this process much easer than if he had written the code using `nano`. By your logic, the resulting kernel code is not "open" because the tooling used to create it is not open. This is, of course, nonsense.
I agree that the project as a whole is less open than it could be, but the weights are indeed as open as they can be, no scare quotes required.