weight quantization

MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching IJCAI 2025 OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025 PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models ACL 2025 Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers CVPR 2025 Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models AAAI 2025 Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025 Scheduling Weight Transitions for Quantization-Aware Training ICCV 2025 SiLQ: Simple Large Language Model Quantization-Aware Training IJCNLP 2025 SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting ICCV 2025 SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models ICLR 2025 Training-Free Activation Sparsity in Large Language Models ICLR 2025 Treasures in Discarded Weights for LLM Quantization AAAI 2025 Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models ACL 2025 Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025 VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers AAAI 2025 Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity ICLR 2025 A2Q+: Improving Accumulator-Aware Weight Quantization ICML 2024 AFPQ: Asymmetric Floating Point Quantization for LLMs ACL 2024 Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge AAAI 2024 Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024 BitDelta: Your Fine-Tune May Only Be Worth One Bit NeurIPS 2024 BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation ACL 2024 BitsFusion: 1.99 bits Weight Quantization of Diffusion Model NeurIPS 2024 Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other NAACL 2024 Compressing Large Language Models using Low Rank and Low Precision Decomposition NeurIPS 2024