Alternatives and similar repositories for OSTQuant

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

• ruikangliu / FlatQuant
  [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"
  ☆156Updated last month
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆148Updated 3 months ago
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆130Updated 11 months ago
• Intelligent-Computing-Lab-Panda / GPTAQ
  Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)
  ☆58Updated last month
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆29Updated 9 months ago
• thu-ml / Jetfire-INT8Training
  ☆51Updated last year
• xvyaward / owq
  Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…
  ☆64Updated last year
• DD-DuDa / BitDistiller
  [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.
  ☆120Updated last year
• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆165Updated 10 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆224Updated last year
• INT-FlashAttention2024 / INT-FlashAttention
  ☆81Updated 7 months ago
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆418Updated 9 months ago
• yifu-ding / BGEMM-CUDA
  This is a repository of Binary General Matrix Multiply (BGEMM) by customized CUDA kernel. Thank FP6-LLM for the wheels!
  ☆15Updated last year
• Intelligent-Computing-Lab-Panda / TesseraQ
  ☆22Updated 10 months ago
• zhangsichengsjtu / AFPQ
  AFPQ code implementation
  ☆22Updated last year
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆213Updated last year
• DD-DuDa / BitDecoding
  A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.
  ☆57Updated 3 weeks ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆48Updated 2 years ago
• naver-aics / lut-gemm
  ☆68Updated last year
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆138Updated last week
• bytedance / AffineQuant
  Official implementation of the ICLR 2024 paper AffineQuant
  ☆26Updated last year
• facebookresearch / SpinQuant
  Code repo for the paper "SpinQuant LLM quantization with learned rotations"
  ☆316Updated 6 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆319Updated last year
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆73Updated last month
• facebookresearch / ParetoQ
  This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"
  ☆98Updated 2 months ago
• JingyangXiang / DFRot
  [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…
  ☆26Updated 5 months ago
• cat538 / SKVQ
  [COLM 2024] SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models
  ☆24Updated 10 months ago
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆71Updated last month
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆315Updated 7 months 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