Training

LoRA (low-rank adaptation)

A cheap fine-tuning technique that trains a small set of extra weights instead of updating the whole model.

LoRA adapters are small files that can be swapped in and out of a base model, which makes it practical to keep many specialised versions of one open-weight model.

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Frequently asked questions

What does LoRA (low-rank adaptation) mean?

A cheap fine-tuning technique that trains a small set of extra weights instead of updating the whole model. LoRA adapters are small files that can be swapped in and out of a base model, which makes it practical to keep many specialised versions of one open-weight model.