Glossary · AI
What is
QLoRA?
Quantized LoRA: combines LoRA with 4-bit quantization to fine-tune large models on consumer GPUs.
By Anish· Founder · Vedwix
·Definition
QLoRA quantizes the base model to 4 bits and applies LoRA adapters on top. This makes it possible to fine-tune 70B-parameter models on a single high-end consumer GPU. The quality trade-off is small for most domains.
Example
Fine-tuning Llama 3 70B on a single A100 with QLoRA, reducing memory needs from 280GB to under 80GB.
How Vedwix uses QLoRA in client work
Used when client compute is constrained or when iterating quickly through dataset variations.
Building with QLoRA?
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