Hao840 / Awesome-Low-Precision-TrainingLinks
A collection of research papers on low-precision training methods
☆38Updated 5 months ago
Alternatives and similar repositories for Awesome-Low-Precision-Training
Users that are interested in Awesome-Low-Precision-Training are comparing it to the libraries listed below
Sorting:
- Code Repository of Evaluating Quantized Large Language Models☆132Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆67Updated 2 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated 2 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 years ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆171Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆160Updated 5 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆242Updated 2 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆55Updated 3 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
- The official implementation of the ICML 2023 paper OFQ-ViT☆32Updated 2 years ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- AFPQ code implementation☆23Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆72Updated 3 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆179Updated last week
- ☆23Updated 11 months ago
- ☆42Updated 2 years ago
- This repository contains integer operators on GPUs for PyTorch.☆220Updated 2 years ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆79Updated 6 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆21Updated 10 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆118Updated 3 months ago
- ☆58Updated last year
- LLM Inference with Microscaling Format☆31Updated 11 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆122Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 3 years ago
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆27Updated 2 months ago
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆239Updated 3 months ago
- ☆24Updated 10 months ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆60Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆23Updated 7 months ago
- ☆69Updated 2 months ago