SupraLabs has released SupraVL-Nano-900k, a vision-language model built entirely from scratch. This model, with approximately 900,000 parameters, was trained on the Flickr8k dataset and is designed to be a transparent and educational blueprint for understanding image-to-text models. Its architecture includes a CNN visual encoder and a GPT-2-style transformer decoder, with all components documented and accessible. AI
IMPACT Provides a transparent, accessible blueprint for understanding vision-language model architecture and training.
RANK_REASON Release of a new, small-scale model with a focus on transparency and educational value, rather than frontier performance. [lever_c_demoted from research: ic=1 ai=1.0]
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