Local AI Glossary
What is QLoRA (Quantized LoRA)?
Source: local-llm.net/glossary
A fine-tuning method that combines LoRA with a quantized (typically NF4) base model. QLoRA allows fine-tuning models on consumer GPUs by keeping the base model at 4-bit precision while training small full-precision adapter weights. A 7B model can be fine-tuned with QLoRA on a GPU with as little as 6 GB VRAM.
How QLoRA (Quantized LoRA) fits in the local AI stack
QLoRA (Quantized LoRA) is part of the broader local AI ecosystem. See the related guides, comparisons, and tools below to see how it applies in practice.
See also
- Full Local AI Glossary
- All learn topics
- What is Local AI?
- Quantization explained
- Hardware requirements
- How to choose a local LLM