IST-DASLab / OBCLinks
Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
☆129Updated 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.☆223Updated 2 years ago
- Code Repository of Evaluating Quantized Large Language Models☆137Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Updated 2 years ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆192Updated 2 years ago
- ☆157Updated 2 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Updated 3 years ago
- ☆243Updated 3 years ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆68Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆196Updated 2 weeks ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆125Updated 2 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆323Updated 9 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆169Updated 2 weeks ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆131Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆74Updated 5 months ago
- ☆207Updated 4 years ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆121Updated 5 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆266Updated last month
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆356Updated 10 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆85Updated 8 months ago
- ☆167Updated 2 years ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆218Updated 2 years ago
- ☆82Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆178Updated last year
- A collection of research papers on low-precision training methods☆51Updated 7 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆63Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆77Updated 4 months ago
- ☆348Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆331Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆35Updated 2 years ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆115Updated 2 months ago