Intelligent-Computing-Lab-Panda / GPTAQLinks
Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)
☆49Updated last month
Alternatives and similar repositories for GPTAQ
Users that are interested in GPTAQ are comparing it to the libraries listed below
Sorting:
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆142Updated last month
- ☆22Updated 8 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆141Updated last month
- Code Repository of Evaluating Quantized Large Language Models☆129Updated 10 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆67Updated 3 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- AFPQ code implementation☆22Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆164Updated 9 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆39Updated this week
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆63Updated last year
- LLM Inference with Microscaling Format☆24Updated 8 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆18Updated 3 weeks ago
- ☆52Updated 11 months ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆34Updated 11 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆102Updated 3 months ago
- ☆77Updated 5 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆37Updated 9 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆115Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆32Updated last year
- Official implementation of the ICLR 2024 paper AffineQuant☆26Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆133Updated 3 months ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆85Updated last month
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆74Updated last week
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆121Updated 2 years ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆74Updated 8 months ago
- ☆10Updated last year
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆215Updated 3 weeks ago
- A sparse attention kernel supporting mix sparse patterns☆249Updated 5 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆201Updated last year