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How does LoRA fine-tune a large model so cheaply?

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  1. Freezes the weights, trains small add-on matrices
  2. Retrains every weight in the model
  3. Deletes layers the task does not need

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References

  1. Hu et al., LoRA: Low-Rank Adaptation of Large Language Models (arXiv 2106.09685) arxiv.org/abs/2106.09685 Checked 2026-10-10.

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