IBM / qattn
Efficient GPU kernels for mixed-precision Vision Transformers in Triton
☆12Updated 9 months ago
Alternatives and similar repositories for qattn:
Users that are interested in qattn are comparing it to the libraries listed below
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 7 months ago
- ☆75Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆42Updated 6 months ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 2 years ago
- ☆12Updated 2 years ago
- Rethinking Data-Free Quantization as a Zero-Sum Game☆9Updated 5 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆53Updated 2 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- ☆22Updated last year
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆31Updated last year
- ☆43Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Updated last year
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆25Updated last year
- ☆25Updated 3 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Updated 2 years ago
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- Code for ICML 2021 submission☆35Updated 4 years ago
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆16Updated 2 years ago
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆22Updated last year
- ☆17Updated 2 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆71Updated 2 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆69Updated 3 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity☆17Updated 2 years ago
- ☆44Updated 3 years ago
- An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorizatio…☆10Updated 5 years ago