ROIM1998 / APTLinks
[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
☆46Updated last year
Alternatives and similar repositories for APT
Users that are interested in APT are comparing it to the libraries listed below
Sorting:
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆50Updated last year
- ☆62Updated last year
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆23Updated 9 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆67Updated 2 years ago
- ☆23Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆67Updated 9 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆83Updated last year
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year
- ☆63Updated 2 years ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆72Updated 9 months ago
- A block pruning framework for LLMs.☆27Updated 7 months ago
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆65Updated 11 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆47Updated last year
- ☆56Updated last year
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆98Updated last year
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆103Updated 6 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆43Updated last year
- Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"☆36Updated 8 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆73Updated 9 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆22Updated 2 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆178Updated last year
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models☆49Updated last year
- Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"☆50Updated 2 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆113Updated last year
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆31Updated 7 months ago
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆17Updated 8 months ago
- The code for "AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference", Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Ch…☆25Updated 6 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆141Updated 5 months ago