Can any existing model be converted to BitNet?
The original b1.58 recipe trains with quantized weights. Its results do not imply that rounding an arbitrary pretrained model to ternary values will preserve quality.
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BitNet b1.58: What Ternary Weights Change—and What They Do NotBitNet trains with ternary weights to cut storage and arithmetic costs. Its results do not prove a universal energy multiplier or a 70B CPU-cache model.
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