The DeepSeek-VL model represents a significant step forward in vision-language (VL) understanding and is designed specifically for real-world applications:

• Prioritizes data diversity and scenario coverage, from web images to OCR and knowledge-based content.
• Employs a hybrid vision encoder to efficiently deal with high-resolution images, balancing computational demands with the need for semantic detail.
• Maintains strong linguistic abilities crucial to VL models by integrating LLM training from inception and managing modality competition.

By tuning through instruction datasets based on real user scenarios, DeepSeek-VL (available in 1.3B and 7B models) achieves outstanding performance as a vision-language chatbot. The model’s superior performance and robustness in language-centric benchmarks serve as a foundation for further innovation.