Photo7b Rar File

A lightweight MLP (Multi-Layer Perceptron) or a C-Abstractor that maps visual tokens into the language model's embedding space. 2. Training Methodology The model is typically trained in two distinct stages:

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Utilizes a pre-trained CLIP-ViT-L/14 or similar high-resolution transformer to extract spatial features. A lightweight MLP (Multi-Layer Perceptron) or a C-Abstractor

Focuses on "feature alignment" using massive image-text pairs (e.g., LAION-5B). The goal is to teach the LLM what objects look like without updating the LLM weights. or data for this model