CASIA-IVA-Lab / FLAPLinks
[AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
☆58Updated 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)☆64Updated 4 months ago
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆21Updated 5 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆116Updated 2 weeks ago
- ☆59Updated 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
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆44Updated last year
- ☆20Updated 9 months ago
- [ACL 2024] Official PyTorch implementation of "IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact"☆47Updated 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
- ☆57Updated 8 months ago
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆72Updated last year
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆64Updated 5 months ago
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models☆46Updated 9 months ago
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆19Updated last year
- ☆50Updated last year
- Official implementation for LaCo (EMNLP 2024 Findings)☆17Updated 10 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆37Updated 11 months ago
- ☆43Updated 9 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆75Updated 10 months ago
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆92Updated 9 months ago
- ☆10Updated last year
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆51Updated 9 months ago
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year
- The Official Implementation of Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference☆89Updated 2 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆101Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 10 months ago
- Multi-Candidate Speculative Decoding☆36Updated last year
- Awesome list for LLM pruning.☆251Updated this week
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆73Updated last month
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆59Updated last year