Topic: quantization

• Post-training quantization versus quantization-aware training: choosing and checking a smaller model

  PTQ converts an already-trained model; QAT lets training adapt to simulated quantization error. Calibration quality, supported operators and the exported model’s measured accuracy matter more than a bit-width label alone.

  article · en · unreviewed · knowledge as of 2026-10-11

Machine-readable: JSON