Model Card [\[๐ H2OVL Mississippi Paper\]](https://arxiv.org/abs/2410.13611) [\[๐ค HF Demo\]](https://huggingface.co/spaces/h2oai/h2ovl mississippi) [\[๐ Quick Start\]]( quick start) The H2OVL Mississippi 2B is a high performing, general purpose vision language model developed by H2O.ai to handle a wide range of multimodal tasks. This model, with 2 billion parameters, excels in tasks such as image captioning, visual question answering (VQA), and document understanding, while maintaining efficiency for real world applications. The Mississippi 2B model builds on the strong foundations of our H2O Danube language models, now extended to integrate vision and language tasks. It competes with larger models across various benchmarks, offering a versatile and scalable solution for document AI, OCR, and multimodal reasoning. Key Features: 2 Billion Parameters: Balance between performance and efficiency, making it suitable for document processing, OCR, VQA, and more. Optimized for Vision Language Tasks: Achieves high performance across a wide range of applications, including document AI, OCR, and multimodal reasoning. Comprehensive Dataset: Trained on 17M image text pairs, ensuring broad coโฆ
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