HeRo-Q: A General Framework for Stable Low Bit Quantization via Hessian Conditioning | ScienceToStartup | ScienceToStartup

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References (20)

[1]

CALM: A CKA-Guided Adaptive Layer-Wise Modularization Framework for LLM Quantization

2025Jinhao Zhang, Yunquan Zhang et al.

[2]

Rethinking Parameter Sharing as Graph Coloring for Structured Compression

2025Boyang Zhang, Daning Cheng et al.

[3]

MoQE: Improve Quantization Model performance via Mixture of Quantization Experts

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"HeRo-Q offers a robust, easy-to-integrate algorithm that enhances the stability of low bit quantization in large language models."

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HeRo-Q: A General Framework for Stable Low Bit Quantization via Hessian Conditioning

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References (20)

Founder's Pitch

"HeRo-Q offers a robust, easy-to-integrate algorithm that enhances the stability of low bit quantization in large language models."

Commercial Viability Breakdown

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HeRo-Q: A General Framework for Stable Low Bit Quantization via Hessian Conditioning

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References (20)

Founder's Pitch

"HeRo-Q offers a robust, easy-to-integrate algorithm that enhances the stability of low bit quantization in large language models."

Commercial Viability Breakdown

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