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      <title>FAQ It Till You Make It: Fixing LLM Quantization by Teaching Models Their Own Family History</title>
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      <description>A mechanism-first reading of FAQ, a data-centric post-training quantization method that uses larger in-family models to regenerate calibration data and reduce quantization damage.</description>
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