AINeutralarXiv – CS AI · 15h ago6/10
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Tail-Aware HiFloat4: W4A4 Post-Training Quantization for Wan2.2
Researchers have developed Tail-Aware HiFloat4, a post-training quantization method that compresses text-to-video generation models using W4A4 (4-bit weights and activations) while maintaining output quality. The technique introduces activation-tail-aware calibration to handle statistical outliers, enabling efficient model deployment without retraining.