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Why can't you improve it or fit it to your data? This can be cross-compiled/ported in the Linux analogy. The Linux analogy would be more like: a kernel dev wro
by fastball 1y ago
Why can't you improve it or fit it to your data?
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.
- echelon 1y agoI really don't think your analogy fits the absurdity of lacking the tooling. It's more like you have to decompile an N64 cartridge ROM and don't have the tools. But I don't want to play that game. I'll up the ante. I'll bet you money that nobody forks this and adds fine tuning for at least a year.
- eginhard 1y agoSomeone already did: https://github.com/stlohrey/chatterbox-finetuning https://github.com/stlohrey/chatterbox-finetuning And someone else fine-tuned it for German: https://huggingface.co/SebastianBodza/Kartoffelbox-v0.1 https://huggingface.co/SebastianBodza/Kartoffelbox-v0.1
- fastball 1y agoYou're supposed to wait to post this until I agree to the bet ;)
- echelon 1y agoI'm totally humbled by this. 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.