CASIA-IVA-Lab / FLAPLinks
[AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
☆61Updated last year
Alternatives and similar repositories for FLAP
Users that are interested in FLAP are comparing it to the libraries listed below
Sorting:
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆66Updated 6 months ago
- ☆60Updated last year
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆23Updated 6 months ago
- ☆51Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆122Updated last month
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models☆48Updated 11 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆45Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆49Updated last year
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆72Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆20Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆78Updated 11 months ago
- Official implementation for LaCo (EMNLP 2024 Findings)☆17Updated last year
- ☆20Updated 10 months ago
- ☆59Updated 9 months ago
- ☆11Updated last year
- ☆43Updated 11 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆54Updated 10 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆67Updated 6 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆102Updated last year
- A family of efficient edge language models in 100M~1B sizes.☆17Updated 7 months ago
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆94Updated 10 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆168Updated last year
- A block pruning framework for LLMs.☆26Updated 4 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆72Updated 2 months ago
- Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆37Updated 8 months ago
- [ACL 2024] Official PyTorch implementation of "IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact"☆47Updated last year
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆39Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆46Updated last year