QDrop. The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
131outlier_suppression. The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
49rat-plus. RAT+: Train Dense, Infer Sparse - Recurrence Augmented Attention for Dilated Inference (ICML2026)
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