Does quantization hurt quality? QLoRA matches LoRA performance on most benchmarks. The quantization error is small enough that training compensates.
Where QLoRA might slightly underperform:
- Tasks requiring precise numerical reasoning
- Long context where errors accumulate
For most applications, the quality difference is negligible. The memory savings are substantial.