Alternatives and similar repositories for SparseBERT:

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

• kssteven418 / LTP
  [KDD'22] Learned Token Pruning for Transformers
  ☆96Updated 2 years ago
• ruikangliu / IntactKV
  Official PyTorch implementation of IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
  ☆43Updated 10 months ago
• ChandlerGuan / Transkimmer
  Code for ACL2022 publication Transkimmer: Transformer Learns to Layer-wise Skim
  ☆21Updated 2 years ago
• SqueezeAILab / SqueezedAttention
  SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference
  ☆45Updated 4 months ago
• CASIA-IVA-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆45Updated last year
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆48Updated 2 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆35Updated 4 years ago
• Intelligent-Computing-Lab-Yale / TesseraQ
  ☆19Updated 5 months ago
• QingruZhang / PLATON
  This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).
  ☆43Updated 2 years ago
• htqin / BiBERT
  This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.
  ☆88Updated last year
• AboveParadise / LLMCBench
  ☆21Updated 4 months ago
• Qualcomm-AI-research / gptvq
  ☆29Updated last year
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆20Updated 4 months ago
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆33Updated 6 months ago
• DerrickYLJ / TidalDecode
  [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
  ☆31Updated last month
• zyxxmu / LBC
  Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity
  ☆17Updated 2 years ago
• sanagno / adaptively_sparse_attention
  ☆20Updated last year
• NonvolatileMemory / flash_tree_attn
  ☆19Updated 3 months ago
• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆32Updated last year
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆62Updated 3 years ago
• VITA-Group / SViTE
  [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…
  ☆89Updated last year
• Adaxry / Unified_Layer_Skipping
  ☆12Updated 11 months ago
• yxli2123 / LoSparse
  ☆50Updated last year
• OpenGVLab / LLMPrune-BESA
  BESA is a differentiable weight pruning technique for large language models.
  ☆14Updated last year
• yuchaoli / PST
  Source code for IJCAI 2022 Long paper: Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.
  ☆13Updated 2 years ago
• zyxxmu / Bi-Mask
  Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"
  ☆12Updated last year
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆30Updated last year
• VITA-Group / UVC
  [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…
  ☆52Updated last year
• LiuXiaoxuanPKU / GACT-ICML
  ☆42Updated 2 years ago
• yaozhewei / MLPruning
  MLPruning, PyTorch, NLP, BERT, Structured Pruning
  ☆21Updated 3 years ago