Qualcomm-AI-research / pruning-vs-quantizationLinks
☆25Updated last year
Alternatives and similar repositories for pruning-vs-quantization
Users that are interested in pruning-vs-quantization are comparing it to the libraries listed below
Sorting:
- ☆78Updated 3 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Updated 2 years ago
- DeiT implementation for Q-ViT☆25Updated 8 months ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆98Updated 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
- ☆168Updated 2 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Updated 3 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆125Updated 3 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- ☆19Updated 4 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆102Updated 2 years ago
- Post-Training Quantization for Vision transformers.☆235Updated 3 years ago
- LSQ+ or LSQplus☆76Updated 10 months ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆35Updated 2 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆61Updated 2 years ago
- EQ-Net [ICCV 2023]☆30Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- A collection of research papers on efficient training of DNNs☆70Updated 3 years ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆87Updated 8 months ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆42Updated 4 years ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆68Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆137Updated last year
- ☆12Updated 3 years ago
- ☆243Updated 3 years ago
- LLM Inference with Microscaling Format☆34Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 years ago
- Reproducing Quantization paper PACT☆64Updated 3 years ago
- This is a repository of Binary General Matrix Multiply (BGEMM) by customized CUDA kernel. Thank FP6-LLM for the wheels!☆18Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆35Updated last year