parsa-epfl / quantization-sparsity-interplayLinks
This repo contains the code for studying the interplay between quantization and sparsity methods
☆23Updated 8 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☆32Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated 2 years ago
- ☆25Updated 11 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 3 years ago
- ☆23Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆67Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆57Updated 4 months ago
- Code Repository of Evaluating Quantized Large Language Models☆135Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆30Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆21Updated this week
- The official implementation of the ICML 2023 paper OFQ-ViT☆33Updated 2 years ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆121Updated 4 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆67Updated 7 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆74Updated 4 months ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 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
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆63Updated last year
- AFPQ code implementation☆24Updated 2 years ago
- ☆52Updated last year
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆82Updated 7 months ago
- ☆30Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆164Updated 2 weeks ago
- SLiM: One-shot Quantized Sparse Plus Low-rank Approximation of LLMs (ICML 2025)☆28Updated 3 weeks ago
- ☆61Updated 2 years ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆72Updated 3 months ago
- DeiT implementation for Q-ViT☆25Updated 6 months ago
- ☆60Updated last year
- ☆78Updated 3 years ago