IBM / qattnLinks
Efficient GPU kernels for mixed-precision Vision Transformers in Triton
☆16Updated 4 months ago
Alternatives and similar repositories for qattn
Users that are interested in qattn are comparing it to the libraries listed below
Sorting:
- FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch☆37Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆93Updated 3 years ago
- ☆78Updated 3 years ago
- ☆170Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Updated 2 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- ☆45Updated 4 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆36Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆47Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Updated 2 years ago
- BitSplit Post-trining Quantization☆50Updated 4 years ago
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆26Updated last year
- ☆244Updated 3 years ago
- ☆43Updated 2 years ago
- ☆48Updated 5 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆73Updated 3 years ago
- ☆36Updated 2 years ago
- ☆25Updated last year
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆58Updated 2 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆41Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 years ago
- ☆12Updated 3 years ago
- Code for ICML 2021 submission☆35Updated 4 years ago
- Inference of quantization aware trained networks using TensorRT☆83Updated 3 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆61Updated 2 years ago
- ☆11Updated last year
- ☆208Updated 4 years ago
- ☆49Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Updated 2 years ago