Zhen-Dong / Awesome-Quantization-PapersLinks
List of papers related to neural network quantization in recent AI conferences and journals.
☆677Updated 4 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:
- ☆266Updated 11 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…☆2,177Updated 5 months ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆347Updated 2 years ago
- Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.☆161Updated 11 months ago
- All Homeworks for TinyML and Efficient Deep Learning Computing 6.5940 • Fall • 2023 • https://efficientml.ai☆177Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,469Updated last year
- 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
- Awesome LLM compression research papers and tools.☆1,627Updated last month
- Post-Training Quantization for Vision transformers.☆223Updated 3 years ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆306Updated 5 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆413Updated 8 months ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆443Updated 2 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆125Updated 2 years ago
- [EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a V…☆528Updated this week
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆527Updated 10 months ago
- ☆205Updated 3 years ago
- This repository contains integer operators on GPUs for PyTorch.☆211Updated last year
- Awesome list for LLM pruning.☆246Updated 7 months ago
- Pytorch implementation of BRECQ, ICLR 2021☆282Updated 4 years ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆521Updated 10 months ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆299Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆123Updated 2 years ago
- Awesome list for LLM quantization☆260Updated last month
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆730Updated 5 months ago
- Model Quantization Benchmark☆827Updated 3 months ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆191Updated 2 years ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆91Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆305Updated 5 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆72Updated 3 months ago
- A curated list for Efficient Large Language Models☆1,809Updated last month