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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?

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[-] rufus@discuss.tchncs.de 1 points 1 year ago* (last edited 1 year ago)

The UT5 person seems not too convinced himself: https://github.com/bublint/ue5-llama-lora/issues/7#issuecomment-1612001607

The xFinance one seems to be evaluated with positive results.

this post was submitted on 04 Oct 2023
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