QLoRA: Efficient Finetuning of Quantized LLMs Explained

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  1. Gabriel Mongaras
  2. Machine Learning
  3. Artificial Intelligence
  4. Attention
  5. Deep Learning
  6. Transformers
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Комментарии
Автор

This is the best explanation of QLoRA on YouTube.

wryltxw
Автор

Thanks for this enlightening video. I guess, the first c-value that you mentioned should be one magnitude smaller (0.062 instead of 0.62).

Aruuuq
Автор

is there intuition behind which modules to LoRA adapt?
idk, i saw all, just qv, ... and if i just apply to qv, it means im diminishing the % drop of training weights when compared to full lora, as only Lora adapted layers get quantized..correct?

iFastee
Автор

Amazing explanation. Is that ok if I show your video in my podcast and show the link?

kiwillm