ThinQuant: Scalable Rotation Learning for Weight and Activation Quantization of LLMs
cs.LG, cs.AI
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
- QuIP: 2-Bit Quantization of Large Language Models With Guarantees
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
- The Llama 3 Herd of Models
- AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
- ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models
- DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
- SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
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