Alternatives and similar repositories for DSnoT:

Users that are interested in DSnoT are comparing it to the libraries listed below

• yxli2123 / LoSparse
  ☆51Updated last year
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆39Updated 11 months ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆65Updated last year
• SempraETY / Pruning-via-Merging
  ☆18Updated 5 months ago
• wzhuang-xmu / LoSA
  [ICLR 2025] The official pytorch implement of "Dynamic Low-Rank Sparse Adaptation for Large Language Models".
  ☆16Updated last month
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆58Updated last month
• Lucky-Lance / SPP
  [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
  ☆20Updated 11 months ago
• CASIA-IVA-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆49Updated last year
• haiquanlu / AlphaPruning
  [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
  ☆23Updated last month
• aim-uofa / LoRAPrune
  ☆50Updated 4 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆66Updated 6 months ago
• fmfi-compbio / admm-pruning
  ☆27Updated 9 months ago
• UNITES-Lab / moe-quantization
  Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"
  ☆15Updated 10 months ago
• wangqinsi1 / Dobi-SVD
  Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"
  ☆30Updated last month
• VILA-Lab / GBLM-Pruner
  Are gradient information useful for pruning of LLMs?
  ☆43Updated last year
• stephenqz / OATS
  Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition
  ☆12Updated 2 weeks ago
• MrGGLS / BlockPruner
  A block pruning framework for LLMs.
  ☆22Updated 10 months ago
• LinkAnonymous / BESA
  ☆10Updated last year
• ArminAzizi98 / LaMDA
  ☆15Updated 5 months ago
• alexandertheus / Intra-Fusion
  Towards Meta-Pruning via Optimal Transport, ICLR 2024 (Spotlight)
  ☆16Updated 5 months ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆37Updated 10 months ago
• ylsung / ECoFLaP
  Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)
  ☆19Updated last year
• pixeli99 / OwLore
  Official Pytorch Implementation of "OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning" b…
  ☆31Updated 11 months ago
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆36Updated 8 months ago
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆65Updated 10 months ago
• OpenGVLab / LLMPrune-BESA
  BESA is a differentiable weight pruning technique for large language models.
  ☆16Updated last year
• UNITES-Lab / MC-SMoE
  [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆82Updated 11 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆58Updated 2 months ago
• liyunqianggyn / Awesome-LLMs-Pruning
  Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.
  ☆85Updated 4 months ago
• imagination-research / EEP
  Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
  ☆16Updated 4 months ago