Fine-Tuning Small Models on Phones Boosts Accuracy to 90%
beamnxw · x · 2026-07-18
A Google engineer demonstrated how to directly fine-tune a very small model on a smartphone, boosting task accuracy from 46% to 90% in just 21 minutes.
The method involved selecting Gemma 270M, generating synthetic data for a specific task, fine-tuning with LoRA, quantizing to int4, and deploying it on a Pixel phone. The author emphasized that this combination allows a compact AI agent to run offline on a mobile device while maintaining high throughput.
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