NVIDIA
NVIDIA
NVIDIA-Nemotron-Nano-12B-v2-VL
Container
NVIDIA
NVIDIA
NVIDIA-Nemotron-Nano-12B-v2-VL

This container houses the Nemotron Nano12B v2 VL model, which is an advanced autoregressive Visual Language Model (VLM) designed for document transcription from images and videos, outputting text in a reading order.

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NVIDIA Nemotron Nano 12B v2 VL Container Overview

Description:

This container houses the Nemotron Nano 12B v2 VL model, which is an advanced autoregressive Visual Language Model (VLM) designed for document transcription from images and videos, outputting text in a reading order.

The container components are ready for commercial/non-commercial use.

License/Terms of Use:

GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products and the use of this model is governed by the NVIDIA Open Model License Agreement.

Deployment Geography:

Global

Release Date:

NVIDIA Nemotron Nano 12B v2 VL :

The NVIDIA Nemotron Nano 12B v2 VL NIM Container includes the following model:

Model Name & LinkUse CaseHow to Pull the Model
Nemotron Nano 12B v2 vl https://build.nvidia.com/nvidia/nemotron-nano-12b-v2-vlPerforms document transcription from images and videos, outputting text in a reading order.Automatic

Deployment Details:

Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.

Visit the NVIDIA NIM for VLMs page for release documentation, deployment guides and more.

Container Version(s):

  • nvcr.io/nim/nvidia/nemotron-nano-12b-v2-vl:1.6.0

  • nvcr.io/nim/nvidia/nemotron-nano-12b-v2-vl:1.5.0

Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.

Users are responsible for model inputs and outputs. Users are responsible for ensuring safe integration of this model, including implementing guardrails as well as other safety mechanisms, prior to deployment.

Please report security vulnerabilities or NVIDIA AI Concerns here.

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