zkkli / HTQLinks
[PR 2024] HTQ: Exploring the High-Dimensional Trade-Off of Mixed-Precision Quantization
☆12Updated 10 months ago
Alternatives and similar repositories for HTQ
Users that are interested in HTQ are comparing it to the libraries listed below
Sorting:
- [ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers☆128Updated last year
- [ICCV 2023] I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference☆173Updated 9 months ago
- [ECCV 2022] Patch Similarity Aware Data-Free Quantization for Vision Transformers☆122Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆56Updated 2 years ago
- [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers☆21Updated 2 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆30Updated 7 months ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆89Updated 2 years ago
- EQ-Net [ICCV 2023]☆29Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- DeiT implementation for Q-ViT☆25Updated last month
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆122Updated last year
- LSQ+ or LSQplus☆69Updated 4 months ago
- [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer☆29Updated 5 months ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- This is a repository of Binary General Matrix Multiply (BGEMM) by customized CUDA kernel. Thank FP6-LLM for the wheels!☆15Updated 9 months ago
- Post-Training Quantization for Vision transformers.☆218Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated 8 months ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆92Updated last year
- ☆11Updated 4 months ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆54Updated 2 years ago
- ☆76Updated 2 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆41Updated 2 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆22Updated last year
- ☆34Updated 2 years ago
- super-resolution; post-training quantization; model compression☆12Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- LLM Inference with Microscaling Format☆23Updated 6 months ago
- ☆22Updated last year