Post-training quantization with NVIDIA ModelOpt (FP8_DEFAULT_CFG); activation quantizers were disabled after calibration, so the exported model is weight-only.

Weight scales here are computed data-free from the weights themselves. With activations left in FP16 there is nothing for the calibration text to affect, so this checkpoint would be identical whatever text were used. It is a control the AWQ variants are measured against.

The checkpoint stores plain quantized weights; nothing inside it records the weight-only mode. That lives in the repo name and calib_stats.json only.

Not loadable by plain transformers — config.json declares quantization type modelopt.

Not comparable to a W4A4 checkpoint: the gap between them is partly precision and partly which tensors were quantized at all.