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
  ☆102Updated 2 years ago
• LiuXiaoxuanPKU / GACT-ICML
  ☆43Updated 3 years ago
• ruikangliu / IntactKV
  [ACL 2024] Official PyTorch implementation of "IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact"
  ☆48Updated last year
• htqin / BiBERT
  This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.
  ☆89Updated 2 years ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆49Updated 3 years ago
• yxli2123 / LoSparse
  ☆63Updated 2 years ago
• VITA-Group / Q-Hitter
  ☆16Updated last year
• mlpen / LookupFFN
  ☆21Updated last year
• CASIA-LMC-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆69Updated 2 years ago
• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆30Updated 2 years ago
• Zhen-Dong / BitPack
  BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
  ☆58Updated 2 years ago
• cornell-zhang / llm-datatypes
  Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
  ☆27Updated last year
• PingchengDong / GQA-LUT
  The official implementation of the DAC 2024 paper GQA-LUT
  ☆20Updated last year
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆44Updated last year
• xfhelen / MMBench
  An end-to-end benchmark suite of multi-modal DNN applications for system-architecture co-design
  ☆22Updated last year
• SqueezeAILab / SqueezedAttention
  [ACL 2025] Squeezed Attention: Accelerating Long Prompt LLM Inference
  ☆56Updated last year
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆192Updated 2 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆35Updated 4 years ago
• ThisisBillhe / torch_quantizer
  torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.
  ☆22Updated last year
• Qualcomm-AI-research / gptvq
  ☆40Updated last year
• sIncerass / QBERT
  ☆15Updated 3 years ago
• zhangsichengsjtu / AFPQ
  AFPQ code implementation
  ☆23Updated 2 years ago
• ziplab / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆31Updated last year
• RunpeiDong / DGMS
  [ICML 2022 Spotlight] Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
  ☆11Updated 2 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆65Updated 4 years ago
• lvyufeng / easy_mindspore_bk
  ☆18Updated 3 years ago
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆36Updated 2 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 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 2 years ago
• iamkanghyunchoi / ait
  It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]
  ☆29Updated 3 years ago