deepseek-ai/DeepSeek-VL2

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5374 stars · 1810 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

DeepSeek-VL2 is a series of Mixture-of-Experts vision-language models (Tiny, Small, and 4.5B activated parameters) with inference code and model weights for advanced multimodal understanding. It handles tasks like visual question answering, OCR, document/table/chart understanding, and visual grounding.

Use cases

• run a vision-language model for image question answering
• extract text from images with OCR
• understand documents, tables, and charts from screenshots
• ground and locate objects in images from natural language queries
• build multimodal chat applications that see images
• compare MoE vision-language model variants by size

When to choose

• you need strong multimodal understanding with efficient MoE inference
• you want an open-weights VLM with MIT-licensed code
• you need OCR or document/chart understanding out of the box

When to avoid

• you need a text-only LLM
• you cannot run GPU inference locally
• you need a permissively licensed model for commercial use without checking the model agreement

Facets

library · maturity active

machine-learning deep-learning llm-inference ocr image-processing nlp artificial-intelligence large-language-models computer-vision deep-learning python vision-language-model mixture-of-experts multimodal visual-question-answering visual-grounding model-weights natural-language-processing gpu linux docker

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