Alternatives and similar repositories for Pruner-Zero

Users that are interested in Pruner-Zero are comparing it to the libraries listed below

• 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
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆65Updated 5 months ago
• thu-nics / MoA
  [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆146Updated 2 months ago
• Lucky-Lance / Expert_Sparsity
  [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
  ☆101Updated last year
• sramshetty / ShortGPT
  Unofficial implementations of block/layer-wise pruning methods for LLMs.
  ☆72Updated last year
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆78Updated 10 months ago
• ruikangliu / Quantized-Reasoning-Models
  [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
  ☆51Updated 2 months ago
• CASE-Lab-UMD / Unified-MoE-Compression
  The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".
  ☆75Updated 6 months ago
• yxli2123 / LoSparse
  ☆59Updated last year
• UNITES-Lab / MC-SMoE
  [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆93Updated 2 months ago
• sramshetty / mixture-of-depths
  An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆36Updated last year
• Lucky-Lance / SPP
  [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
  ☆21Updated last year
• jiwonsong-dev / SLEB
  Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
  ☆37Updated 7 months ago
• lliai / D2MoE
  D^2-MoE: Delta Decompression for MoE-based LLMs Compression
  ☆64Updated 5 months ago
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆39Updated last year
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆33Updated last year
• AkideLiu / MiniCache
  ☆10Updated last year
• VITA-Group / llm-kick
  [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.
  ☆24Updated 4 months ago
• FasterDecoding / TEAL
  ☆142Updated 7 months ago
• TianjinYellow / StableSPAM
  ☆23Updated 5 months ago
• LiqunMa / FBI-LLM
  FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
  ☆51Updated 3 weeks ago
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆38Updated 11 months ago
• SqueezeAILab / SqueezedAttention
  SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference
  ☆52Updated 10 months ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆45Updated last year
• OpenSparseLLMs / Linear-MoE
  ☆119Updated 3 months ago
• JarvisPei / CMoE
  Implementation for the paper: CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference
  ☆25Updated 6 months ago
• BaohaoLiao / ApiQ
  [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs
  ☆14Updated last year
• dongwonjo / FastKV
  Official Implementation of FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective Propagation
  ☆22Updated 4 months ago
• rayleizhu / vllm-ra
  [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts
  ☆40Updated last year
• VILA-Lab / GBLM-Pruner
  Are gradient information useful for pruning of LLMs?
  ☆46Updated 3 weeks ago