Zhen-Dong / Awesome-Quantization-Papers
List of papers related to neural network quantization in recent AI conferences and journals.
☆562Updated 3 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
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are co…☆2,026Updated 2 weeks ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆329Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆361Updated 3 months ago
- Awesome LLM compression research papers and tools.☆1,427Updated this week
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆175Updated last month
- ☆231Updated 7 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,369Updated 8 months ago
- All Homeworks for TinyML and Efficient Deep Learning Computing 6.5940 • Fall • 2023 • https://efficientml.ai☆162Updated last year
- [TMLR 2024] Efficient Large Language Models: A Survey☆1,117Updated 3 weeks ago
- Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.☆148Updated 6 months ago
- ☆202Updated 3 years ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆611Updated 2 weeks ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆278Updated 2 weeks ago
- Post-Training Quantization for Vision transformers.☆209Updated 2 years ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆415Updated 6 months ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆507Updated 6 months ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆429Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆196Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆269Updated 3 years ago
- Awesome list for LLM pruning.☆212Updated 3 months ago
- [EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a V…☆434Updated last week
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆180Updated 2 years ago
- Model Quantization Benchmark☆793Updated 2 months ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆113Updated last year
- Awesome list for LLM quantization☆186Updated 2 months ago
- ☆310Updated 11 months ago
- ☆226Updated 2 years ago
- 📰 Must-read papers and blogs on Speculative Decoding ⚡️☆645Updated last week
- ☆141Updated 2 years ago
- A curated list for Efficient Large Language Models☆1,547Updated last week