wangqinsi1 / Dobi-SVD
Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"
☆31Updated last month
Alternatives and similar repositories for Dobi-SVD:
Users that are interested in Dobi-SVD are comparing it to the libraries listed below
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆38Updated last month
- 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'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆39Updated 11 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Updated last year
- [ICLR 2025] The official pytorch implement of "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆16Updated last month
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆66Updated 6 months ago
- ☆51Updated last year
- ☆9Updated 8 months ago
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆20Updated 11 months ago
- ☆21Updated 5 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆159Updated 7 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆49Updated last year
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆31Updated 9 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆58Updated last month
- LLM Inference with Microscaling Format☆22Updated 5 months ago
- This repo contains the code for studying the interplay between quantization and sparsity methods☆18Updated 2 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆37Updated 10 months ago
- ☆20Updated 6 months ago
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆42Updated 2 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆16Updated 5 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆46Updated 5 months ago
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆12Updated 3 weeks ago
- ☆50Updated 4 months ago
- Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"☆16Updated 10 months ago
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆23Updated last month
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆21Updated last month
- ☆23Updated last month
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆36Updated 7 months ago
- ☆41Updated 11 months ago