Alternatives and similar repositories for gemm-int8

Users that are interested in gemm-int8 are comparing it to the libraries listed below

• IST-DASLab / gemm-fp8
  High Performance FP8 GEMM Kernels for SM89 and later GPUs.
  ☆19Updated 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
• Hao840 / Awesome-Low-Precision-Training
  A collection of research papers on low-precision training methods
  ☆33Updated 3 months 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
• Qualcomm-AI-research / FP8-quantization
  ☆158Updated 2 years ago
• Intelligent-Computing-Lab-Panda / TesseraQ
  ☆22Updated 10 months ago
• Qualcomm-AI-research / gptvq
  ☆32Updated last year
• thu-nics / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆44Updated 9 months ago
• thu-ml / Jetfire-INT8Training
  ☆51Updated last year
• ModelTC / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆39Updated last year
• flashinfer-ai / cutlass-viz
  ☆63Updated 4 months ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆107Updated 3 months ago
• INT-FlashAttention2024 / INT-FlashAttention
  ☆81Updated 7 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 2 years ago
• Intelligent-Computing-Lab-Panda / GPTAQ
  Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)
  ☆59Updated last month
• LeiWang1999 / TVM.CMakeExtend
  Tutorials of Extending and importing TVM with CMAKE Include dependency.
  ☆14Updated 10 months ago
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆29Updated 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
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆34Updated last year
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆69Updated 3 years ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆70Updated 3 months ago
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆33Updated last year
• ModelTC / quant_horizon
  ☆11Updated 7 months ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆110Updated 8 months ago
• ruikangliu / Quantized-Reasoning-Models
  [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
  ☆47Updated last month
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆34Updated 4 years ago
• xxyux / SpInfer
  SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs
  ☆57Updated 5 months ago
• 1hunters / LIMPQ
  Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"
  ☆58Updated 2 years ago
• ThisisBillhe / torch_quantizer
  torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.
  ☆23Updated last year
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆54Updated 7 months ago