reports/quantization_summary.json

{
  "modules": 224,
  "transformer_bytes": 4870924032,
  "mean_diagnostic_nrmse": 0.057958053558000495,
  "max_diagnostic_nrmse": 0.1279429793357849,
  "naive_mean_diagnostic_nrmse": 0.07584479178019267,
  "protocol": "64 original BF16 trajectories;384 fit and384 disjoint diagnostic rows per layer, stratified across prompts and timesteps. Five smoothing exponents, two weight-scale methods. Rank128 randomized SVD (seed1234,q160,niter3); optional activation-weighted15-point block-scale MSE search. Native W4A4 kernels with dynamic activation amax used for all calibrated selection/diagnostic output errors. Plain reference uses original static range. No held-out image evaluation prompts used for calibration."
}