# Lightweight CLIP

A compact vision-language model based on CLIP architecture, designed for efficient zero-shot image classification

TinyCLIP is an innovative cross-modal distillation approach for large-scale language-image pre-trained models, achieving the optimal balance between speed and accuracy through affinity mimicking and weight inheritance techniques.

TinyCLIP is an innovative cross-modal distillation method for large-scale vision-language pretraining models, achieving optimal balance between speed and accuracy through affinity mimicking and weight inheritance techniques.