post-training quantization

Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers NeurIPS 2024 VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models EMNLP 2024 When Quantization Affects Confidence of Large Language Models? NAACL 2024 A Frustratingly Easy Post-Training Quantization Scheme for LLMs EMNLP 2023 Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023 Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization EMNLP 2023 FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization ICML 2023 Genie: Show Me the Data for Quantization CVPR 2023 Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis NeurIPS 2023 LLM-FP4: 4-Bit Floating-Point Quantized Transformers EMNLP 2023 NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers CVPR 2023 OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023 Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling EMNLP 2023 PD-Quant: Post-Training Quantization Based on Prediction Difference Metric CVPR 2023 Post-Training Quantization on Diffusion Models CVPR 2023 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 PTQD: Accurate Post-Training Quantization for Diffusion Models NeurIPS 2023 Q-Diffusion: Quantizing Diffusion Models ICCV 2023 RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers ICCV 2023 SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision EMNLP 2023 SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models ICML 2023 Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023 Temporal Dynamic Quantization for Diffusion Models NeurIPS 2023 Toward Accurate Post-Training Quantization for Image Super Resolution CVPR 2023 Towards Efficient and Accurate Winograd Convolution via Full Quantization NeurIPS 2023