A developer built a specialist System One model on an RTX 3070 by fine-tuning ModernBERT-base with LoRA adapters on banking, spam, and sentiment datasets, then distilled knowledge from Qwen2.5-7B using teacher logits. The model achieved 88.5% on banking intent classification and 98.9% on spam detection, with selective prediction reaching 99% accuracy on high-confidence examples.