Model Quantization Benchmark
☆863Apr 20, 2025Updated 11 months ago
Alternatives and similar repositories for MQBench
Users that are interested in MQBench are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Offline Quantization Tools for Deploy.☆144Dec 28, 2023Updated 2 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆296Aug 1, 2021Updated 4 years ago
- PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.☆1,789Mar 28, 2024Updated 2 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆129Sep 23, 2025Updated 6 months ago
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are co…☆2,343Updated this week
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆312May 8, 2024Updated last year
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,269May 6, 2025Updated 11 months ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆458May 15, 2023Updated 2 years ago
- A simple network quantization demo using pytorch from scratch.☆542Jun 18, 2023Updated 2 years ago
- ☆45Jul 14, 2021Updated 4 years ago
- United Perception☆436Dec 5, 2022Updated 3 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆359Apr 11, 2023Updated 2 years ago
- EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…☆409Nov 22, 2022Updated 3 years ago
- Post-Training Quantization for Vision transformers.☆242Jul 19, 2022Updated 3 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,585Updated this week
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.☆696Apr 1, 2026Updated last week
- NART = NART is not A RunTime, a deep learning inference framework.☆37Mar 2, 2023Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 4 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆138Apr 28, 2022Updated 3 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆282Dec 8, 2023Updated 2 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆264Oct 3, 2023Updated 2 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆287Dec 11, 2024Updated last year
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆138Nov 19, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆11Jan 10, 2025Updated last year
- OpenMMLab Model Compression Toolbox and Benchmark.☆1,668Jun 11, 2024Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Mar 23, 2023Updated 3 years ago
- A nnie quantization aware training tool on pytorch.☆236Dec 10, 2020Updated 5 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94May 5, 2022Updated 3 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆129Jan 2, 2020Updated 6 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,631Jul 12, 2024Updated last year
- SQuant [ICLR22]☆131Sep 27, 2022Updated 3 years ago
- A primitive library for neural network☆1,368Nov 24, 2024Updated last year
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆94Jul 14, 2023Updated 2 years ago
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated last year
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆161Jun 16, 2020Updated 5 years ago
- A model compression and acceleration toolbox based on pytorch.☆333Jan 12, 2024Updated 2 years ago
- Brevitas: neural network quantization in PyTorch☆1,512Updated this week
- List of papers related to neural network quantization in recent AI conferences and journals.☆814Mar 27, 2025Updated last year