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Are instruction tuning LORAs transferable?
(slrpnk.net)
Hey all, I am in the process of testing several models for fine-tuning and that question cropped up.
I would like to add new facts to a foundational model and then train it for instruction tuning. Problem is, I will regularly have new data to add. I was wondering if there is a change that I could do a single LORA for the instruction tuning and reapply it each time I finished a new fine-tuning?
At least in stable diffusion Loras are composable. You can combine different loras and have both effects applied to the resulting image.
Yes, but my understanding is that they are commutable? (i.e. the order does not matter) If so, it looks like that a "facts-adding" LORA seem to induce forgetting of formatting.
And I am especially curious if a facts-LORA + a instructions-LORA results in a model that can use the new facts in the instructions or not. I'll run experiments but would have loved if people here knew about it already.