Alternatives and similar repositories for SQuant

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

• clevercool / TileSparsity
  ☆106Updated 4 years ago
• fxmeng / Pruning-Filter-in-Filter
  Pruning Filter in Filter(NeurIPS2020)
  ☆148Updated last year
• ZLkanyo009 / MQBench_Quantize
  QAT(quantize aware training) for classification with MQBench
  ☆28Updated 3 years ago
• Qcompiler / MIXQ
  MIXQ: Taming Dynamic Outliers in Mixed-Precision Quantization by Online Prediction
  ☆92Updated 9 months ago
• bytedance / ABQ-LLM
  An acceleration library that supports arbitrary bit-width combinatorial quantization operations
  ☆229Updated 10 months ago
• OPTML-Group / BiP
  [NeurIPS22] "Advancing Model Pruning via Bi-level Optimization" by Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Min…
  ☆118Updated 2 years ago
• AIoT-MLSys-Lab / SVD-LLM
  [ICLR 2025🔥] SVD-LLM & [NAACL 2025🔥] SVD-LLM V2
  ☆233Updated 4 months ago
• Qcompiler / vllm-mixed-precision
  Support mixed-precsion inference with vllm
  ☆85Updated 3 weeks ago
• Ptolemy-DL / Ptolemy
  ☆96Updated 4 years ago
• Qcompiler / MixQ_Tensorrt_LLM
  Mixed precision inference by Tensorrt-LLM
  ☆81Updated 9 months ago
• xiexi51 / ICCAD-Accel-GCN
  Official Implementation of "Accel-GNN: High-Performance GPU Accelerator Design for Graph Neural Networks"
  ☆52Updated 4 months ago
• xiexi51 / MaxK-GNN
  Official implementation of "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training"
  ☆38Updated last year
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 3 years ago
• liuzuyan / ElasticCache
  [ECCV 2024] Efficient Inference of Vision Instruction-Following Models with Elastic Cache
  ☆42Updated last year
• Jianf-Wang / RSG
  A Pytorch implementation of CVPR 2021 paper "RSG: A Simple but Effective Module for Learning Imbalanced Datasets"
  ☆107Updated 3 years ago
• ByteDance-Seed / ShadowKV
  [ICML 2025 Spotlight] ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
  ☆221Updated 3 months ago
• CR400AF-A / SparseMM
  [ICCV 2025] SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs
  ☆69Updated last month
• BillAmihom / RAPQ
  Pytorch implementation of RAPQ, IJCAI 2022
  ☆22Updated 2 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆123Updated 2 years ago
• htqin / BiBench
  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…
  ☆56Updated last year
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆69Updated 3 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 3 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 3 years ago
• Phoenix8215 / BuildCudaNeuralNetworkFromScratch
  Build CUDA Neural Network From Scratch
  ☆21Updated 11 months ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• ByteDance-Seed / SDP4Bit
  official implementation of paper SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
  ☆38Updated 7 months ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆99Updated 4 years ago
• advdfacd / AggMask
  ☆19Updated 4 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆223Updated 3 years ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆282Updated 4 years ago