ONNX export of Suarify/laya-pdpa-my-v4 — a Malaysian PDPA classifier for call transcripts. Ten typed questions per call: eight yes/no classes, one ordered severity, one choice for who disclosed. Exported with torch.onnx.export(dynamo=True), opset 17, external data. Accuracy is over all 960 held-out decisions (96 rows × 10 questions), by argmax, against a majority-class baseline of 72.8%. Parity of the fp32 export against the PyTorch checkpoint is 1.07e-05 max absolute logit difference across batches 1, 3, 8 and 16. fp32 and q4f16 both score 825/960. That identical total is a coincidence of to 10.15 absolute logit difference, and the flips happen to break 23 each way. The disagreements are…