Photo7b Rar Page

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:

Utilizes a pre-trained CLIP-ViT-L/14 or similar high-resolution transformer to extract spatial features. Photo7B rar

Built upon the LLaMA-2-7B or Mistral-7B architecture, providing a strong foundation for linguistic reasoning and zero-shot capabilities. A lightweight MLP (Multi-Layer Perceptron) or a C-Abstractor

Explaining complex scenes or reading text within images (OCR). Photo7B rar

The model is fine-tuned on high-quality, multimodal instruction-following datasets (like LLaVA-Instruct). In this stage, both the projector and the LLM weights may be updated to handle conversational context. 3. Key Capabilities