Pruning calibration stops reading fixed text: decode-time activations lift Qwen3-32B writing score from 2.99 to 5.31
LLM pruning now builds its calibration activations from the dense model's own autoregressive decode steps while discarding prefill, aligning the pruning objective with generation-time activations; it beats fixed-text calibration on WritingBench and ClassEval and reaches up to 1.48x end-to-end decoding speedup on A100 GPUs.