parsa-epfl / quantization-sparsity-interplayLinks
This repo contains the code for studying the interplay between quantization and sparsity methods
☆19Updated 3 months ago
Alternatives and similar repositories for quantization-sparsity-interplay
Users that are interested in quantization-sparsity-interplay are comparing it to the libraries listed below
Sorting:
- LLM Inference with Microscaling Format☆23Updated 6 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
- ☆22Updated 6 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆55Updated last month
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆62Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- ☆21Updated 7 months ago
- Code Repository of Evaluating Quantized Large Language Models☆123Updated 8 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- ☆98Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆16Updated 5 months ago
- DeiT implementation for Q-ViT☆25Updated last month
- AFPQ code implementation☆21Updated last year
- ☆28Updated 10 months ago
- ☆20Updated last year
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆31Updated 9 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆37Updated 8 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆66Updated 11 months ago
- Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)☆14Updated 11 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆47Updated 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
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆68Updated 7 months ago
- The official implementation of the DAC 2024 paper GQA-LUT☆18Updated 5 months ago
- Code release for AdapMoE accepted by ICCAD 2024☆25Updated last month
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆54Updated 2 years ago
- ☆57Updated last month
- ☆23Updated 3 weeks ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆120Updated last year
- ☆76Updated 2 years ago
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆26Updated 11 months ago