Kai-Liu001 / Awesome-Model-QuantizationLinks
This repository contains low-bit quantization papers from 2020 to 2025 on top conference.
☆61Updated last month
Alternatives and similar repositories for Awesome-Model-Quantization
Users that are interested in Awesome-Model-Quantization are comparing it to the libraries listed below
Sorting:
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated 2 years ago
- ☆14Updated 8 months ago
- [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers☆29Updated 6 months ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆37Updated last year
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆27Updated 2 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆37Updated 11 months ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆95Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆98Updated 2 years ago
- (ICCV 2023) Official implementation of Rectified Straight Through Estimator (ReSTE).☆29Updated last year
- Post-Training Quantization for Vision transformers.☆228Updated 3 years ago
- LSQ+ or LSQplus☆73Updated 8 months ago
- DeiT implementation for Q-ViT☆25Updated 6 months ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆134Updated 3 years ago
- [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer☆35Updated 10 months ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆59Updated 2 years ago
- ptq4vm official repository☆22Updated 6 months ago
- ☆25Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆32Updated 2 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆124Updated last month
- super-resolution; post-training quantization; model compression☆13Updated last year
- ☆76Updated 3 years ago
- ☆28Updated 5 months ago
- [ICCV 2025] QuantCache:Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation☆14Updated last month
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆139Updated 2 years ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆81Updated 6 months ago
- PyTorch code for our paper "Progressive Binarization with Semi-Structured Pruning for LLMs"☆11Updated last month
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆53Updated 4 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆126Updated 7 months ago