NVIDIA Details QAD Pipeline for Optimizing Nemotron Model
PyTorch · x · 2026-08-28
NVIDIA's technical blog details using Quantization-Aware Distillation (QAD) to optimize the Nemotron 3.5 Lightning model. QAD outperforms Post-Training Quantization (PTQ) by maintaining quality on agentic benchmarks while reducing memory usage from 66GB to 22GB, with a full training pipeline guide provided.
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