xvyaward / owqLinks
Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models".
☆64Updated last year
Alternatives and similar repositories for owq
Users that are interested in owq are comparing it to the libraries listed below
Sorting:
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆111Updated last month
- LLM Inference with Microscaling Format☆25Updated 8 months ago
- Code Repository of Evaluating Quantized Large Language Models☆129Updated 10 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
- ☆22Updated 9 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆145Updated 2 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆55Updated last week
- ☆52Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆117Updated last year
- ☆64Updated last year
- AFPQ code implementation☆22Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆149Updated 2 weeks ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆72Updated 3 months ago
- This repo contains the code for studying the interplay between quantization and sparsity methods☆22Updated 5 months ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆125Updated 2 years ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆91Updated 2 months ago
- This repository contains integer operators on GPUs for PyTorch.☆208Updated last year
- ☆79Updated 6 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆73Updated 3 weeks ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆37Updated 11 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆52Updated last year
- ☆33Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 10 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆36Updated 10 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- ☆44Updated last year
- ☆29Updated last year
- ☆42Updated 9 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆211Updated last year