Provider: DeepSeek AI
License: DeepSeek License (for research use only)
Access: Open weights for research purposes
Architecture: Vision-language transformer backbone with cross-modal fusion layers
Modalities: Image + Text
🔍 Overview
DeepSeek-V3 is a powerful open multimodal model designed to understand and reason over both text and images. It achieves high accuracy on a variety of vision-language benchmarks and is built to handle tasks ranging from OCR to image captioning and visual question answering (VQA).
Key features:
- Multimodal Input: Processes image + text jointly
- Robust OCR Performance: Strong capabilities on structured document text extraction
- Visual Reasoning: Handles multi-step visual question answering with reasoning
- Instruction Following: Accepts task-formatted prompts for unified interface
⚙️ Technical Details
- Architecture: Transformer with dual encoders and cross-attention fusion layers
- Pretraining: Multitask pretraining on aligned image-text pairs
- Benchmarks: Competitive on chart QA, DocVQA, TextVQA, and captioning
- Tokenizer: Shared vocabulary for both image-token and text-token alignment
🚀 Deployment
- Hugging Face Repo: deepseek-ai/DeepSeek-V3
- Inference Interface: Supports image + prompt input through 🤗 Transformers pipeline
- Hardware: GPU recommended (16GB+ for batch inference)