H2OVL Mississippi

Introduces H2OVL Mississippi, a new family of multimodal foundation models (0.8B and 2B parameters) specifically for OCR and Document AI. Details their performance on OCRBench and other benchmarks, outperforming larger models. Describes the model architecture (ViT-MLP-LLM, dynamic resolution, MSAC) and the two-stage training methodology (pretraining on diverse datasets, fine-tuning for QA, OCR, reasoning, and chart/figure/table understanding). Provides examples of model capabilities.