Shypd.aiThe largest open index of AI toolsvstar is an open-source AI tool that provides a PyTorch implementation of "V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs." It offers pre-trained models and supports visual question answering tasks.
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vstar is an open-source project offering a PyTorch implementation of the research paper "V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs." This tool is designed for researchers and developers working with multimodal large language models, specifically focusing on enhancing visual search capabilities. It includes pre-trained models for both VQA LLM and visual search, along with comprehensive training datasets derived from LAION-CC-SBU, COCO, and GQA. Users can set up a local Gradio demo for interactive use and evaluate models using the V*Bench benchmark. The project also provides detailed instructions for pre-training and instruction tuning of the VQA LLM, making it a valuable resource for advancing research in guided visual search within LLMs.
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