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Training for quantization: QAT, 1-bit BitNet and 1.58-bit weights

In the last post we quantized a model that was already trained (post-training quantization, PTQ). The weights were fixed, and we looked for the best way to squeeze them onto an integer grid. But what if the model knew it was going to be quantized while it was learning? That is quantization-aware tr…

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  1. 2026-10-17 13:17 · DEV Community — Machine Learning
    Training for quantization: QAT, 1-bit BitNet and 1.58-bit weights

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