TernaryCLIP: Efficiently Compressing Vision-Language Models with Ternary Weights and Distilled Knowledge
Paper • 2510.21879 • Published
Shu-Hao Zhang
zhsh17
·
AI & ML interests
LLM, Lightweight, Security
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authored a paper 2 days ago
TernaryCLIP: Efficiently Compressing Vision-Language Models with Ternary
Weights and Distilled Knowledge authored a paper 2 days ago
EdgeRazor: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation commentedon a paper 5 days ago
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