IST-DASLab / OBCLinks
Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
☆121Updated 2 years ago
Alternatives and similar repositories for OBC
Users that are interested in OBC are comparing it to the libraries listed below
Sorting:
- This repository contains integer operators on GPUs for PyTorch.☆206Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆130Updated 10 months ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆190Updated 2 years ago
- ☆236Updated 2 years ago
- 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
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- ☆153Updated 2 years ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆141Updated last month
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆115Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆210Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆302Updated 4 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆74Updated last week
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆142Updated last month
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆56Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆49Updated last month
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆298Updated 5 months ago
- ☆42Updated 2 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆122Updated 2 years ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆164Updated 9 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆111Updated last week
- ☆153Updated 2 years ago
- ☆330Updated last year
- Fast Hadamard transform in CUDA, with a PyTorch interface☆201Updated last year
- ☆206Updated 3 years ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆67Updated 3 months ago
- AFPQ code implementation☆22Updated last year
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆215Updated 3 weeks ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆311Updated 5 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆404Updated 7 months ago