Alternatives and similar repositories for SQuant

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

• clevercool / TileSparsity
  ☆105Updated 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
• bytedance / ABQ-LLM
  An acceleration library that supports arbitrary bit-width combinatorial quantization operations
  ☆232Updated 11 months ago
• Qcompiler / MIXQ
  MIXQ: Taming Dynamic Outliers in Mixed-Precision Quantization by Online Prediction
  ☆93Updated 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…
  ☆117Updated 2 years ago
• Qcompiler / vllm-mixed-precision
  Support mixed-precsion inference with vllm
  ☆84Updated 2 months ago
• Qcompiler / MixQ_Tensorrt_LLM
  Mixed precision inference by Tensorrt-LLM
  ☆80Updated 10 months ago
• Ptolemy-DL / Ptolemy
  ☆96Updated 4 years ago
• AIoT-MLSys-Lab / SVD-LLM
  [ICLR 2025🔥] SVD-LLM & [NAACL 2025🔥] SVD-LLM V2
  ☆244Updated 3 weeks ago
• xiexi51 / ICCAD-Accel-GCN
  Official Implementation of "Accel-GNN: High-Performance GPU Accelerator Design for Graph Neural Networks"
  ☆51Updated 5 months ago
• xiexi51 / MaxK-GNN
  Official implementation of "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training"
  ☆39Updated last year
• 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
• xytpai / kfunca
  KFunca: A minimalist, high-performance GPU-based automatic differentiation framework
  ☆28Updated last month
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆34Updated last year
• ByteDance-Seed / ShadowKV
  [ICML 2025 Spotlight] ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
  ☆256Updated 4 months ago
• Phoenix8215 / BuildCudaNeuralNetworkFromScratch
  Build CUDA Neural Network From Scratch
  ☆21Updated last year
• ByteDance-Seed / SDP4Bit
  official implementation of paper SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
  ☆40Updated 9 months ago
• Zhen-Dong / BitPack
  BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
  ☆57Updated 2 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 3 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆34Updated 4 years ago
• SheldongChen / AMD.github.io
  Explainable Person Re-Identification with Attribute-guided Metric Distillation
  ☆99Updated 3 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
• CR400AF-A / SparseMM
  [ICCV 2025] SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs
  ☆71Updated 2 months ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• GreenBitAI / green-bit-llm
  A toolkit for fine-tuning, inferencing, and evaluating GreenBitAI's LLMs.
  ☆184Updated last month
• Infini-AI-Lab / TriForce
  [COLM 2024] TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
  ☆262Updated last year
• luogen1996 / RepAdapter
  Official implementation of "Towards Efficient Visual Adaption via Structural Re-parameterization".
  ☆184Updated last year
• advdfacd / AggMask
  ☆19Updated 4 years ago