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

• zyxxmu / DSnoT
  Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…
  ☆49Updated last year
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆64Updated 3 months ago
• yxli2123 / LoSparse
  ☆58Updated last year
• CASIA-IVA-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆56Updated last year
• liyunqianggyn / Awesome-LLMs-Pruning
  Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.
  ☆96Updated 7 months ago
• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆164Updated 9 months ago
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆43Updated last year
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆74Updated last week
• wzhuang-xmu / LoSA
  [ICLR 2025] The official pytorch implement of "Dynamic Low-Rank Sparse Adaptation for Large Language Models".
  ☆19Updated 4 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆74Updated 8 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
• pprp / Awesome-LLM-Prune
  Awesome list for LLM pruning.
  ☆239Updated 7 months ago
• LinkAnonymous / BESA
  ☆10Updated last year
• UNITES-Lab / MoE-Quantization
  Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"
  ☆20Updated 2 weeks ago
• kssteven418 / SqueezeLLM-gradients
  ☆20Updated last year
• IST-DASLab / EvoPress
  ☆24Updated 2 months ago
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆130Updated 10 months ago
• yangyifei729 / LaCo
  Official implementation for LaCo (EMNLP 2024 Findings)
  ☆17Updated 9 months ago
• wangqinsi1 / Dobi-SVD
  Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"
  ☆34Updated 3 months ago
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆190Updated 2 years ago
• TianjinYellow / EdgeDeviceLLMCompetition-Starting-Kit
  ☆43Updated 8 months ago
• aim-uofa / LoRAPrune
  ☆56Updated 7 months ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆41Updated last year
• SempraETY / Pruning-via-Merging
  ☆18Updated 7 months ago
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆121Updated 2 years ago
• fmfi-compbio / admm-pruning
  ☆28Updated 11 months ago
• hemingkx / Spec-Bench
  Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)
  ☆285Updated 2 months ago
• RUCKBReasoning / LLM-Streamline
  Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"
  ☆30Updated 2 months ago
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆142Updated last month
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆37Updated 11 months ago