Only relative ranks matter in weight-clustered large language models

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References (5)

[1]
Globally optimized SVD compression of LLMs via Fermi-function-based rank selection and gauge fixing
2025Roman Rausch, David Jansen et al.
[2]
LCD: Advancing Extreme Low-Bit Clustering for Large Language Models via Knowledge Distillation
2025Fangxin Liu, Ning Yang et al.
[3]
The Super Weight in Large Language Models
2024Mengxia Yu, Dehui Wang et al.
[4]
GPTVQ: The Blessing of Dimensionality for LLM Quantization
2024M. V. Baalen, Andrey Kuzmin et al.
[5]
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks
2024Andrei Tomut, S. Jahromi et al.

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"A novel approach to compress large language models by focusing on the relative rank of weights."

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