wangqinsi1 / Dobi-SVDLinks
Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"
☆36Updated 4 months ago
Alternatives and similar repositories for Dobi-SVD
Users that are interested in Dobi-SVD are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 10 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆49Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆49Updated 4 months ago
- ☆49Updated last year
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆48Updated 5 months ago
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆129Updated 10 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆44Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆111Updated last week
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆64Updated 4 months ago
- ☆26Updated last week
- ☆23Updated 8 months ago
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆20Updated 4 months ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…☆26Updated 5 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆74Updated 9 months ago
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆13Updated 3 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆63Updated 4 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆18Updated 7 months ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆37Updated 11 months ago
- ☆22Updated 9 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆145Updated 2 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆57Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆73Updated last month
- ☆59Updated last year
- [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆109Updated last month
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆42Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆22Updated 5 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆111Updated last month
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆128Updated 5 months ago