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Andrew Geyko

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#artificial intelligence Preprint Oct 2026

Fine-Tuning a 3B-Parameter LLM on a Smartphone: Characterizing Sustained Training

Multi-billion-parameter LLMs now run on phones for inference, and training them on the device would personalize them without user data leaving the phone. Prior work has measured individual training steps of such models on phones, but not complete training runs, and not whether adapters trained on the device improve per...

Andrew Geyko, Marius Mosbach, André Brinkmann · 0 citations

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