Zhen-Dong / BitPackLinks
BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
☆58Updated 2 years ago
Alternatives and similar repositories for BitPack
Users that are interested in BitPack are comparing it to the libraries listed below
Sorting:
- This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.☆88Updated 2 years ago
- Code for ICML 2021 submission☆34Updated 4 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- A collection of research papers on efficient training of DNNs☆69Updated 3 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 3 years ago
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆25Updated last year
- ☆163Updated 2 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆62Updated 2 years ago
- ☆76Updated 3 years ago
- ☆19Updated 3 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated 2 years ago
- ☆43Updated last year
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- ☆241Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆59Updated 2 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Updated last year
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆112Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆34Updated last year
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆41Updated 4 years ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆29Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆72Updated 4 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆137Updated 4 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆134Updated 3 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Updated 3 years ago
- ☆12Updated 3 years ago