iamkanghyunchoi / ait
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]
☆29Updated 2 years ago
Alternatives and similar repositories for ait:
Users that are interested in ait are comparing it to the libraries listed below
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆31Updated 3 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆41Updated 5 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- ☆10Updated last year
- Official Implementation of "Genie: Show Me the Data for Quantization" (CVPR 2023)☆17Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 6 months ago
- ☆21Updated 4 months ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆14Updated 2 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆31Updated 3 years ago
- ☆42Updated last year
- ☆44Updated 6 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- [NeurIPS 2024] Search for Efficient LLMs☆12Updated last month
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆32Updated last year
- ☆18Updated 4 months ago
- ☆17Updated 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆53Updated last year
- Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022☆53Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆35Updated last year
- DeiT implementation for Q-ViT☆25Updated 2 years ago
- ☆25Updated 3 years ago
- ☆12Updated last year
- ☆26Updated 2 years ago
- super-resolution; post-training quantization; model compression☆11Updated last year
- LLM Inference with Microscaling Format☆19Updated 4 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆32Updated 5 months ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆25Updated last year
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆40Updated 3 years ago