Alternatives and similar repositories for Sparsebit

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

• tianyic / only_train_once_personal_footprint
  OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
  ☆309Updated last year
• ModelTC / MQBench
  Model Quantization Benchmark
  ☆844Updated 6 months ago
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆353Updated 2 years ago
• ModelTC / Dipoorlet
  Offline Quantization Tools for Deploy.
  ☆141Updated last year
• deepglint / EasyQuant
  EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…
  ☆404Updated 2 years ago
• TRT2022 / MST-plus-plus-TensorRT
  TensorRT 2022复赛方案： 首个基于Transformer的图像重建模型MST++的TensorRT模型推断优化
  ☆143Updated 3 years ago
• Tencent / TPAT
  TensorRT Plugin Autogen Tool
  ☆368Updated 2 years ago
• aojunzz / NM-sparsity
  ☆241Updated 2 years ago
• Qualcomm-AI-research / transformer-quantization
  ☆206Updated 3 years ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆284Updated 4 years ago
• ucbrise / actnn
  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
  ☆199Updated 2 years ago
• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆460Updated 3 months ago
• tpoisonooo / llama.onnx
  LLaMa/RWKV onnx models, quantization and testcase
  ☆367Updated 2 years ago
• MegEngine / mgeconvert
  MegEngine到其他框架的转换器
  ☆70Updated 2 years ago
• Jermmy / pytorch-quantization-demo
  A simple network quantization demo using pytorch from scratch.
  ☆538Updated 2 years ago
• BlinkDL / RWKV-CUDA
  The CUDA version of the RWKV language model ( https://github.com/BlinkDL/RWKV-LM )
  ☆223Updated 10 months ago
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆129Updated 2 years ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆451Updated 2 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆228Updated 3 years ago
• MegEngine / examples
  A set of examples around MegEngine
  ☆31Updated last year
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆317Updated 7 months ago
• ModelTC / LightCompress
  A powerful toolkit for compressing large models including LLM, VLM, and video generation models.
  ☆599Updated 2 months ago
• bytedance / ByteTransformer
  optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052
  ☆479Updated last year
• idstcv / ZenNAS
  ☆228Updated 4 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆124Updated last month
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆217Updated last year
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆83Updated 2 years ago
• microsoft / nn-Meter
  A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
  ☆360Updated last year
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆220Updated 2 years ago
• ModelTC / NART
  NART = NART is not A RunTime, a deep learning inference framework.
  ☆37Updated 2 years ago