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Cristhian Kapelinski

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#artificial intelligence Preprint Aug 2026

Not All 4-bit Quantizers Are Equal: Deployment-Time Mitigation of PII Leakage in Fine-Tuned Small Language Models

Organizations fine-tune small language models on private data and then compress them to 4 bits for resource-efficient deployment. We show that the compression method also affects privacy. What separates the methods is not the bit width but whether they tune their rounding on a small sample of text, the calibration corp...

Cristhian Kapelinski, Diego Kreutz · 0 citations

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