Alternatives and similar repositories for Relative-importance-and-activation-pruning

Users that are interested in Relative-importance-and-activation-pruning are comparing it to the libraries listed below

• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆74Updated 4 months ago
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆67Updated 7 months ago
• zyxxmu / DSnoT
  Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…
  ☆50Updated last year
• yxli2123 / LoSparse
  ☆61Updated 2 years ago
• CASIA-LMC-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆63Updated last year
• liyunqianggyn / Awesome-LLMs-Pruning
  Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.
  ☆132Updated 3 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆80Updated last year
• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆174Updated last year
• parsa-epfl / quantization-sparsity-interplay
  This repo contains the code for studying the interplay between quantization and sparsity methods
  ☆23Updated 8 months ago
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆45Updated last year
• pprp / Awesome-LLM-Prune
  Awesome list for LLM pruning.
  ☆272Updated last month
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆67Updated last year
• kssteven418 / SqueezeLLM-gradients
  ☆21Updated last year
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆135Updated last year
• aim-uofa / LoRAPrune
  ☆60Updated 11 months ago
• stephenqz / OATS
  Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition
  ☆15Updated 7 months ago
• AboveParadise / LLMCBench
  ☆25Updated 11 months ago
• imagination-research / EEP
  Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
  ☆21Updated this week
• LinkAnonymous / BESA
  ☆11Updated 2 years ago
• wzhuang-xmu / LoSA
  [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".
  ☆23Updated 8 months ago
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆121Updated 4 months ago
• falcon-xu / early-exit-papers
  A curated list of early exiting (LLM, CV, NLP, etc)
  ☆68Updated last year
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆38Updated last year
• IST-DASLab / EvoPress
  ☆36Updated 3 months ago
• hdong920 / LESS
  ☆53Updated last year
• TianjinYellow / EdgeDeviceLLMCompetition-Starting-Kit
  ☆43Updated last year
• SempraETY / Pruning-via-Merging
  ☆23Updated 11 months ago
• xvyaward / owq
  Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…
  ☆67Updated last year
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆129Updated 2 years ago
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆164Updated 2 weeks ago