Nemotron Nano 12B V2 VL
Nemotron Nano 12B V2 VL is NVIDIA's vision-language extension of the Nemotron Nano 12B series, bringing multimodal understanding to a compact, efficient model footprint. It is built on NVIDIA's Nemotron architecture and is designed to handle both text and image inputs, enabling tasks that require joint visual and language reasoning.
The model targets developers and enterprise teams who need a capable vision-language model that can run efficiently without requiring the largest GPU clusters. It suits applications like image captioning, visual question answering, document understanding, and multimodal RAG pipelines where a cost-effective but capable VL model is needed.
Key Features
Joint image and text input processing
Visual question answering across natural and document images
Image captioning and scene description
Multimodal reasoning combining visual and textual context
Compact 12B parameter footprint optimized for efficient inference
Designed for enterprise and on-premise deployment via NVIDIA NIM
Ideal Use Cases
Automated image captioning for media libraries
Document and chart analysis with natural language queries
Visual QA in customer support or retail product inspection
Multimodal RAG pipelines combining images with text corpora
On-device or private-cloud vision-language inference
Example Prompts for Nemotron Nano 12B V2 VL
Technical Specifications
| Provider | Nvidia |
| Category | Text |
| Modality | Text + Image -> Text |
Frequently Asked Questions
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