LoRA – TildAlice

LoRA vs Adapter vs Prefix Tuning: PEFT Memory Comparison

2026년 05월 22일

Compare LoRA, Adapter, and Prefix Tuning memory usage in this PEFT benchmark. Discover which method delivers the best efficiency trade-offs.

2026년 04월 05일

DoRA cuts LLM fine-tuning cost 44% vs LoRA but delivers 5% better multi-turn reasoning. Real A100 benchmarks, NaN debugging, and when to pick each.

2026년 03월 06일

LoRA cuts fine-tuning cost 6.5x but loses 2-3% accuracy. Here's when that trade-off breaks your interview demo — with GPU memory benchmarks.

2026년 03월 01일

Full fine-tuning costs $5/hr on A100. QLoRA drops it to $0.50 on T4 — with matching accuracy at rank 64. Real memory breakdowns + 47-run benchmark.

2026년 01월 14일

LoRA fine-tunes 175B models with 0.01% trainable parameters. Math behind low-rank decomposition, GPT-3 results, and PyTorch implementation guide.

2025년 11월 17일

LoRA uses 60GB GPU, QLoRA needs 16GB, DoRA hits 12GB — same model quality. Here's the memory breakdown and when to pick each method.