parsa-epfl / quantization-sparsity-interplay
This repo contains the code for studying the interplay between quantization and sparsity methods
☆17Updated last month
Alternatives and similar repositories for quantization-sparsity-interplay:
Users that are interested in quantization-sparsity-interplay are comparing it to the libraries listed below
- LLM Inference with Microscaling Format☆20Updated 5 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
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆60Updated last year
- ☆20Updated 5 months ago
- ☆21Updated 4 months ago
- AFPQ code implementation☆20Updated last year
- SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆29Updated 8 months ago
- ☆26Updated 9 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- ☆55Updated last year
- ☆50Updated last year
- DeiT implementation for Q-ViT☆24Updated this week
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆46Updated 2 weeks ago
- Code Repository of Evaluating Quantized Large Language Models☆121Updated 7 months ago
- ☆22Updated 3 weeks ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆104Updated last week
- [DAC 2024] EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive La…☆52Updated 9 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆16Updated 4 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆56Updated 3 weeks ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆64Updated 9 months ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆118Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆36Updated 7 months ago
- ☆95Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆47Updated last year
- ☆18Updated 3 years ago
- ☆29Updated last year
- ☆24Updated 5 months ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆63Updated 6 months ago