Alternatives and similar repositories for transformer-quantization

Users that are interested in transformer-quantization are comparing it to the libraries listed below

• Qualcomm-AI-research / FP8-quantization
  ☆153Updated 2 years ago
• kssteven418 / I-BERT
  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization
  ☆252Updated 2 years ago
• aojunzz / NM-sparsity
  ☆236Updated 2 years 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
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆442Updated 2 years ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆206Updated last year
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 2 years ago
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆343Updated 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…
  ☆47Updated 2 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆221Updated 2 years ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆157Updated last year
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆190Updated 2 years ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆110Updated 7 months ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 3 years ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆276Updated 3 years ago
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆46Updated last year
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆133Updated 3 years ago
• facebookresearch / bit
  Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer
  ☆109Updated 2 years ago
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆302Updated 4 months ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆299Updated last year
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆98Updated 4 years ago
• IntelLabs / Model-Compression-Research-Package
  A library for researching neural networks compression and acceleration methods.
  ☆139Updated 10 months ago
• haochengxi / Train_Transformers_with_INT4
  ☆153Updated 2 years ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆56Updated 2 years ago
• Zhen-Dong / BitPack
  BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
  ☆55Updated 2 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆122Updated 2 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆135Updated 4 years ago
• microsoft / microxcaling
  PyTorch emulation library for Microscaling (MX)-compatible data formats
  ☆256Updated 3 weeks ago
• mit-han-lab / parallel-computing-tutorial
  ☆171Updated last year
• naver-aics / lut-gemm
  ☆60Updated last year