This is a repaired image text-to-text model that solves the problem of inference failure of the original model in the latest Transformers version. This model is specifically designed for image recognition and text generation tasks and supports multimodal input processing.

MultimodalTransformersEnglish

dots.ocr is a powerful multilingual document parser that unifies layout detection and content recognition in a single vision-language model. It achieves SOTA performance based on 1.7 billion parameters and supports multilingual document parsing and good reading order preservation.

MultimodalGguf

dots.llm1 is a large-scale MoE model that activates 14 billion parameters out of a total of 142 billion parameters, and its performance is comparable to that of the state-of-the-art models.

Natural Language ProcessingTransformersMultiple Languages