[ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
☆88Apr 8, 2025Updated 11 months ago
Alternatives and similar repositories for OSTQuant
Users that are interested in OSTQuant are comparing it to the libraries listed below
Sorting:
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆211Nov 25, 2025Updated 3 months ago
- ☆34Mar 28, 2025Updated 11 months ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆380Feb 14, 2025Updated last year
- Official implementation of ICML'24 paper "LQER: Low-Rank Quantization Error Reconstruction for LLMs"☆19Jul 11, 2024Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆489Nov 26, 2024Updated last year
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆119Oct 15, 2025Updated 5 months ago
- Repository for the Q-Filters method (https://arxiv.org/pdf/2503.02812)☆35Mar 7, 2025Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆134May 16, 2024Updated last year
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆53Aug 9, 2024Updated last year
- Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"☆21Updated this week
- Official implementation of the ICLR'25 paper "QERA: an Analytical Framework for Quantization Error Reconstruction".☆13Feb 4, 2025Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 2 years ago
- ☆42Mar 28, 2024Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆155Aug 21, 2025Updated 7 months ago
- PB-LLM: Partially Binarized Large Language Models☆156Nov 20, 2023Updated 2 years ago
- [ICLR25] STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs☆18Jun 3, 2025Updated 9 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Nov 26, 2025Updated 3 months ago
- ☆166Jun 22, 2025Updated 8 months ago
- Quantize transformers to any learned arbitrary 4-bit numeric format☆53Jan 25, 2026Updated last month
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆88Jul 28, 2025Updated 7 months ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎:https://zhuanlan.zhihu.c…☆29Mar 5, 2025Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆69Mar 7, 2024Updated 2 years ago
- ☆19Nov 5, 2025Updated 4 months ago
- ☆26Mar 1, 2024Updated 2 years ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆171Nov 11, 2025Updated 4 months ago
- c++ version of ViT☆12Nov 13, 2022Updated 3 years ago
- Code repo for "CritiPrefill: A Segment-wise Criticality-based Approach for Prefilling Acceleration in LLMs".☆16Sep 15, 2024Updated last year
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆179Oct 3, 2024Updated last year
- ☆87Jan 23, 2025Updated last year
- ☆14Jun 22, 2022Updated 3 years ago
- Official implementation of the ICLR 2024 paper AffineQuant☆28Mar 30, 2024Updated last year
- ☆15Mar 21, 2025Updated 11 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆31Mar 12, 2024Updated 2 years ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆397Feb 24, 2024Updated 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆51Oct 21, 2023Updated 2 years ago
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆38Jun 4, 2024Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆74Sep 3, 2024Updated last year
- Fast Hadamard transform in CUDA, with a PyTorch interface☆293Mar 10, 2026Updated last week