adreamwu / PTQ4DiTLinks
PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005
☆31Updated 8 months ago
Alternatives and similar repositories for PTQ4DiT
Users that are interested in PTQ4DiT are comparing it to the libraries listed below
Sorting:
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆103Updated 3 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆164Updated 9 months ago
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆49Updated 3 weeks ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆67Updated 3 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆51Updated last month
- DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing (WACV 2025)☆10Updated 7 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆46Updated 4 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆56Updated 2 years ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆102Updated last week
- PyTorch code for our paper "ARB-LLM: Alternating Refined Binarizations for Large Language Models"☆25Updated 3 months ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆92Updated last year
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆47Updated 5 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆142Updated last month
- [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers☆23Updated 3 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆53Updated 10 months ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…☆24Updated 4 months ago
- ☆12Updated last week
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆122Updated 2 years ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆139Updated 2 years ago
- Code Repository of Evaluating Quantized Large Language Models☆130Updated 10 months ago
- This is a repository of Binary General Matrix Multiply (BGEMM) by customized CUDA kernel. Thank FP6-LLM for the wheels!☆15Updated 10 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Updated 7 months ago
- [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer☆29Updated 7 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆62Updated last year
- A sparse attention kernel supporting mix sparse patterns☆256Updated 5 months ago
- ☆22Updated 8 months ago
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆186Updated 5 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆141Updated last month
- Post-Training Quantization for Vision transformers.☆221Updated 2 years ago
- ☆52Updated 11 months ago