Low-Rank Adaptation(LoRA)

A memory-efficient fine-tuning method that trains injected parameters instead of the full model.

LoRA reduces trainable parameters by 10,000x, enabling fine-tuning on consumer GPUs.

Example

Fine-tuning a 70B model on a single RTX 4090 using LoRA instead of 8x A100 GPUs.

Frequently asked questions

90-99% of full fine-tuning on most tasks.

The process of further training a pre-trained AI model on specific data to specialize it.

Reducing model precision to decrease memory usage and speed up inference.

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