Alternatives and similar repositories for BGEMM-CUDA

Users that are interested in BGEMM-CUDA are comparing it to the libraries listed below

• BrotherHappy / OSTQuant
  [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…
  ☆78Updated 6 months ago
• clevercool / ANT-Quantization
  ☆112Updated last year
• DD-DuDa / awesome-vit-quantization-acceleration
  List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.
  ☆94Updated last year
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆132Updated last year
• Ther-nullptr / circult-eda-mlsys-tinyml-arxiv-daily
  🎓Automatically Update circult-eda-mlsys-tinyml Papers Daily using Github Actions (Update Every 8th hours)
  ☆10Updated this week
• naver-aics / lut-gemm
  ☆72Updated last year
• ruikangliu / FlatQuant
  [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"
  ☆171Updated last week
• xvyaward / owq
  Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…
  ☆66Updated last year
• jeffreyyu0602 / quantized-training
  ☆31Updated last week
• abdelfattah-lab / BitMoD-HPCA-25
  ☆51Updated 2 months ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆48Updated 3 years ago
• GoatWu / APHQ-ViT
  [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers
  ☆27Updated 6 months ago
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆31Updated 10 months ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 5 months ago
• xxyux / SpInfer
  SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs
  ☆59Updated 6 months ago
• parsa-epfl / quantization-sparsity-interplay
  This repo contains the code for studying the interplay between quantization and sparsity methods
  ☆23Updated 7 months ago
• DD-DuDa / BitDistiller
  [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.
  ☆123Updated last year
• mit-han-lab / spatten
  [HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
  ☆106Updated last year
• microsoft / SparTA
  ☆152Updated last year
• aojunzz / DominoSearch
  ☆19Updated 3 years ago
• Paramathic / slim
  SLiM: One-shot Quantized Sparse Plus Low-rank Approximation of LLMs (ICML 2025)
  ☆21Updated 2 weeks ago
• snu-comparch / Tender
  Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)
  ☆20Updated last year
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆228Updated 3 years ago
• sjtu-zhao-lab / SALO
  An efficient spatial accelerator enabling hybrid sparse attention mechanisms for long sequences
  ☆29Updated last year
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆47Updated last year
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆153Updated 4 months ago
• Intelligent-Computing-Lab-Panda / GPTAQ
  Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)
  ☆65Updated 2 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆218Updated 2 years ago
• ranggihwang / Pregated_MoE
  ☆54Updated last year
• ChengZhang-98 / llm-mixed-q
  Official implementation of EMNLP'23 paper "Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?"
  ☆23Updated last year