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Intel Labs China

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https://github.com/deep-optimization
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Recent Activity

genggng  updated a model 7 days ago
IntelLabsChina/CAT-Q
genggng  authored a paper 9 days ago
CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs
genggng  authored a paper 9 days ago
Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models
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Papers

CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs

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wang shigeng's profile picture yangyuxuan.kang's profile picture Jiawei Fan's profile picture Anbang Yao's profile picture

genggng 
updated a model 7 days ago

IntelLabsChina/CAT-Q

Updated 7 days ago • 2
genggng 
authored 3 papers 9 days ago

CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs

Paper • 2606.26650 • Published Jun 25

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models

Paper • 2604.12391 • Published Apr 14

SliderQuant: Accurate Post-Training Quantization for LLMs

Paper • 2603.25284 • Published Mar 26
genggng 
in IntelLabsChina/CAT-Q 11 days ago

Use public Hugging Face model IDs

#1 opened 11 days ago by
genggng
genggng 
published a model 11 days ago

IntelLabsChina/CAT-Q

Updated 7 days ago • 2
genggng 
updated a model 4 months ago

IntelLabsChina/SliderQuant

Updated Mar 24
genggng 
published a model 4 months ago

IntelLabsChina/SliderQuant

Updated Mar 24
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