wimh966 / outlier_suppressionLinks
The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models 
☆48Updated 3 years ago
Alternatives and similar repositories for outlier_suppression
Users that are interested in outlier_suppression are comparing it to the libraries listed below
Sorting:
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated 2 years ago
- LLM Inference with Microscaling Format☆31Updated 11 months ago
- 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
- Code Repository of Evaluating Quantized Large Language Models☆133Updated last year
- ☆79Updated last year
- ☆23Updated 11 months ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 years ago
- AFPQ code implementation☆23Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆32Updated 2 years ago
- A collection of research papers on efficient training of DNNs☆69Updated 3 years ago
- This repo contains the code for studying the interplay between quantization and sparsity methods☆23Updated 8 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆68Updated 3 months ago
- ☆163Updated 2 years ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- ☆36Updated last year
- DeiT implementation for Q-ViT☆25Updated 6 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆124Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆161Updated this week
- ☆241Updated 2 years ago
- This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.☆88Updated 2 years ago
- ☆45Updated last year
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆58Updated 2 years ago
- ☆82Updated 9 months ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆81Updated 6 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆181Updated 2 weeks ago
- ☆58Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆220Updated 2 years ago
- ☆19Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆34Updated last year