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Paper

Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning

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AI summary

arXiv:2605. 24058v1 Announce Type: new Abstract: On-device adaptation of large language models commonly keeps a quantized base model frozen while training and deploying a small, task-specific LoRA adapter.