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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 th
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