Alternatives and similar repositories for FP8-quantization

Users that are interested in FP8-quantization are comparing it to the libraries listed below

• aojunzz / NM-sparsity
  ☆243Updated 3 years ago
• Qualcomm-AI-research / transformer-quantization
  ☆208Updated 4 years ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆223Updated 2 years ago
• naver-aics / lut-gemm
  ☆82Updated last year
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆50Updated 2 years ago
• microsoft / microxcaling
  PyTorch emulation library for Microscaling (MX)-compatible data formats
  ☆327Updated 6 months ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆49Updated 3 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆78Updated 3 years ago
• Intelligent-Computing-Lab-Panda / GPTAQ
  Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)
  ☆78Updated 4 months ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆55Updated 11 months ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆98Updated 4 years ago
• Qualcomm-AI-research / pruning-vs-quantization
  ☆25Updated last year
• INT-FlashAttention2024 / INT-FlashAttention
  ☆83Updated 11 months ago
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆129Updated 2 years ago
• ruikangliu / FlatQuant
  [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"
  ☆202Updated last month
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆267Updated 2 months ago
• xvyaward / owq
  Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…
  ☆68Updated last year
• microsoft / SparTA
  ☆164Updated last year
• Qualcomm-AI-research / gptvq
  ☆37Updated last year
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆93Updated 3 years ago
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆137Updated last year
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆123Updated last year
• facebookresearch / ParetoQ
  This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"
  ☆117Updated 2 months ago
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆70Updated 3 years ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆159Updated 2 years ago
• thu-ml / Jetfire-INT8Training
  ☆60Updated last year
• UDC-GAC / venom
  A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
  ☆56Updated 2 years ago
• mit-han-lab / fouroversix
  Code for the paper “Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling”
  ☆93Updated this week
• aojunzz / DominoSearch
  ☆19Updated 4 years ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆96Updated 3 months ago