Zhen-Dong / Awesome-Quantization-PapersView external linksLinks
List of papers related to neural network quantization in recent AI conferences and journals.
☆800Mar 27, 2025Updated 10 months ago
Alternatives and similar repositories for Awesome-Quantization-Papers
Users that are interested in Awesome-Quantization-Papers are comparing it to the libraries listed below
Sorting:
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are co…☆2,325Jan 29, 2026Updated 2 weeks ago
- [ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers☆141Jan 10, 2024Updated 2 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆453May 15, 2023Updated 2 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆127Sep 23, 2025Updated 4 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…☆205Feb 10, 2025Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Oct 21, 2023Updated 2 years ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆69Mar 7, 2024Updated last year
- [ICCV 2023] I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference☆201Sep 2, 2024Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Mar 23, 2023Updated 2 years ago
- Awesome LLM compression research papers and tools.☆1,776Nov 10, 2025Updated 3 months ago
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆58Feb 7, 2023Updated 3 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆360Apr 11, 2023Updated 2 years ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆887Nov 26, 2025Updated 2 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,607Jul 12, 2024Updated last year
- [PR 2024] HTQ: Exploring the High-Dimensional Trade-Off of Mixed-Precision Quantization☆12Jul 16, 2024Updated last year
- Model Quantization Benchmark☆857Apr 20, 2025Updated 9 months ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆138Apr 28, 2022Updated 3 years ago
- Awesome list for LLM quantization☆390Oct 11, 2025Updated 4 months ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆102Jun 2, 2024Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆38Oct 3, 2023Updated 2 years ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆370Mar 21, 2024Updated last year
- A curated list for Efficient Large Language Models☆1,950Jun 17, 2025Updated 7 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆141Apr 1, 2023Updated 2 years ago
- PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.☆1,781Mar 28, 2024Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆289Aug 1, 2021Updated 4 years ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆372Feb 14, 2025Updated last year
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆61Mar 19, 2023Updated 2 years ago
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.☆676Nov 19, 2025Updated 2 months ago
- ☆169Mar 9, 2023Updated 2 years ago
- ☆208Nov 9, 2021Updated 4 years ago
- [ICML'21 Oral] I-BERT: Integer-only BERT Quantization☆265Jan 29, 2023Updated 3 years ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆211Nov 25, 2025Updated 2 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆180Oct 3, 2024Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,256Mar 27, 2024Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,436Jul 17, 2025Updated 6 months ago
- Post-Training Quantization for Vision transformers.☆238Jul 19, 2022Updated 3 years ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆482Nov 26, 2024Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆812Mar 6, 2025Updated 11 months ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Jul 11, 2023Updated 2 years ago