wangqinsi1 / Dobi-SVDLinks
Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"
☆47Updated 3 weeks ago
Alternatives and similar repositories for Dobi-SVD
Users that are interested in Dobi-SVD are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆61Updated 9 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆66Updated 8 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆176Updated last year
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…☆28Updated 8 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆50Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆45Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆21Updated last week
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆67Updated 7 months ago
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year
- [NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Tok…☆57Updated last week
- ☆52Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆132Updated 3 months ago
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆60Updated 4 months ago
- [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆115Updated 4 months ago
- A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention☆226Updated 2 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆47Updated last year
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆29Updated 7 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆80Updated last year
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆245Updated 4 months ago
- ☆60Updated last year
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆45Updated last year
- ☆10Updated last year
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆69Updated 7 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
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆164Updated 2 weeks ago
- ☆23Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆135Updated last year
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆150Updated 4 months ago
- A sparse attention kernel supporting mix sparse patterns☆376Updated 9 months ago
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆95Updated 11 months ago