OptRot: Mitigating Weight Outliers via Data-Free Rotations for Post-Training Quantization
Fuente:
arXiv
Saved in:
| Main Authors: | Gadhikar, Advait, Grazzi, Riccardo, Hensman, James |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs
by: Czakó, Patrik, et al.
Published: (2025)
by: Czakó, Patrik, et al.
Published: (2025)
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
by: Huang, Xijie, et al.
Published: (2024)
by: Huang, Xijie, et al.
Published: (2024)
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
by: Su, Zunhai, et al.
Published: (2025)
by: Su, Zunhai, et al.
Published: (2025)
Pay Attention to Small Weights
by: Zhou, Chao, et al.
Published: (2025)
by: Zhou, Chao, et al.
Published: (2025)
Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free
by: Choi, Euntae, et al.
Published: (2025)
by: Choi, Euntae, et al.
Published: (2025)
ManifoldKV: Training-Free KV Cache Compression via Euclidean Outlier Detection
by: Datta, Debajyoti, et al.
Published: (2026)
by: Datta, Debajyoti, et al.
Published: (2026)
Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models
by: Park, Jungwoo, et al.
Published: (2025)
by: Park, Jungwoo, et al.
Published: (2025)
Low-Rank Quantization-Aware Training for LLMs
by: Bondarenko, Yelysei, et al.
Published: (2024)
by: Bondarenko, Yelysei, et al.
Published: (2024)
ECO: Quantized Training without Full-Precision Master Weights
by: Nikdan, Mahdi, et al.
Published: (2026)
by: Nikdan, Mahdi, et al.
Published: (2026)
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
by: Huang, Wei, et al.
Published: (2024)
by: Huang, Wei, et al.
Published: (2024)
Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs
by: Paglieri, Davide, et al.
Published: (2024)
by: Paglieri, Davide, et al.
Published: (2024)
Interactions Across Blocks in Post-Training Quantization of Large Language Models
by: Shabanovi, Khasmamad, et al.
Published: (2024)
by: Shabanovi, Khasmamad, et al.
Published: (2024)
QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts
by: Li, Pingzhi, et al.
Published: (2024)
by: Li, Pingzhi, et al.
Published: (2024)
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
by: Xiao, Guangxuan, et al.
Published: (2022)
by: Xiao, Guangxuan, et al.
Published: (2022)
Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
by: Lai, Song, et al.
Published: (2025)
by: Lai, Song, et al.
Published: (2025)
Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
by: Zhou, Chenxi, et al.
Published: (2025)
by: Zhou, Chenxi, et al.
Published: (2025)
APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models
by: Guan, Ziyi, et al.
Published: (2024)
by: Guan, Ziyi, et al.
Published: (2024)
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
by: Ashkboos, Saleh, et al.
Published: (2024)
by: Ashkboos, Saleh, et al.
Published: (2024)
Unmask It! AI-Generated Product Review Detection in Dravidian Languages
by: De, Somsubhra, et al.
Published: (2025)
by: De, Somsubhra, et al.
Published: (2025)
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
by: Cheng, Wenhua, et al.
Published: (2023)
by: Cheng, Wenhua, et al.
Published: (2023)
Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform Quantizer
by: Choi, Euntae, et al.
Published: (2025)
by: Choi, Euntae, et al.
Published: (2025)
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
by: Lee, Dongyeun, et al.
Published: (2025)
by: Lee, Dongyeun, et al.
Published: (2025)
Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
by: Cao, Sheng, et al.
Published: (2025)
by: Cao, Sheng, et al.
Published: (2025)
OptScale: Probabilistic Optimality for Inference-time Scaling
by: Wang, Youkang, et al.
Published: (2025)
by: Wang, Youkang, et al.
Published: (2025)
MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods
by: Xu, Zukang, et al.
Published: (2025)
by: Xu, Zukang, et al.
Published: (2025)
Efficient Post-training Quantization with FP8 Formats
by: Shen, Haihao, et al.
Published: (2023)
by: Shen, Haihao, et al.
Published: (2023)
GWQ: Gradient-Aware Weight Quantization for Large Language Models
by: Shao, Yihua, et al.
Published: (2024)
by: Shao, Yihua, et al.
Published: (2024)
Athena: Efficient Block-Wise Post-Training Quantization for Large Language Models Using Second-Order Matrix Derivative Information
by: Wang, Yanshu, et al.
Published: (2024)
by: Wang, Yanshu, et al.
Published: (2024)
PromptScreen: Efficient Jailbreak Mitigation Using Semantic Linear Classification in a Multi-Staged Pipeline
by: Rao, Akshaj Prashanth, et al.
Published: (2025)
by: Rao, Akshaj Prashanth, et al.
Published: (2025)
BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models
by: He, Liulu, et al.
Published: (2025)
by: He, Liulu, et al.
Published: (2025)
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
by: Ju, Yiming, et al.
Published: (2024)
by: Ju, Yiming, et al.
Published: (2024)
Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization
by: Wang, Dongwei, et al.
Published: (2024)
by: Wang, Dongwei, et al.
Published: (2024)
Continuous Approximations for Improving Quantization Aware Training of LLMs
by: Li, He, et al.
Published: (2024)
by: Li, He, et al.
Published: (2024)
Systematic Outliers in Large Language Models
by: An, Yongqi, et al.
Published: (2025)
by: An, Yongqi, et al.
Published: (2025)
GIFT: Reconciling Post-Training Objectives via Finite-Temperature Gibbs Initialization
by: Zhao, Zhengyang, et al.
Published: (2026)
by: Zhao, Zhengyang, et al.
Published: (2026)
Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit
by: Goddard, Charles, et al.
Published: (2025)
by: Goddard, Charles, et al.
Published: (2025)
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training
by: Bai, Yuyang, et al.
Published: (2026)
by: Bai, Yuyang, et al.
Published: (2026)
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
by: Guo, Qingyan, et al.
Published: (2024)
by: Guo, Qingyan, et al.
Published: (2024)
Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition
by: Cho, Yoonjun, et al.
Published: (2025)
by: Cho, Yoonjun, et al.
Published: (2025)
Similar Items
-
SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs
by: Czakó, Patrik, et al.
Published: (2025) -
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
by: Huang, Xijie, et al.
Published: (2024) -
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
by: Su, Zunhai, et al.
Published: (2025) -
Pay Attention to Small Weights
by: Zhou, Chao, et al.
Published: (2025) -
Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free
by: Choi, Euntae, et al.
Published: (2025)