Llama-3.1-Nemotron-Nano-VL-8B-V1 Container Overview

Description:

This container houses the Llama-3.1-Nemotron-Nano-VL-8B-V1 model, a leading document intelligence vision language model (VLMs) that enables the ability to query and summarize images from the physical or virtual world. Llama Nemotron Nano VL is deployable in the data center, cloud and at the edge. We find: (1) image-text pairs are not enough, interleaved image-text is essential; (2) unfreezing LLM during interleaved image-text pre-training enables in-context learning; (3)re-blending text-only instruction data is crucial to boost both VLM and text-only performance.

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. Your use of this model is governed by the NVIDIA Community Model License. Additional Information: Llama 3.1 Community Model License; Built with Llama.

Deployment Geography:

Global

Release Date:

Build.Nvidia.com May 28th via https://build.nvidia.com/nvidia/llama-3.1-nemotron-nano-vl-8b-v1
Huggingface May 28th via https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1

Llama-3.1-Nemotron-Nano-VL-8B-V1:

The Llama-3.1-Nemotron-Nano-VL-8B-V1 Container includes the following model:

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.

Reference(s):

N/A

Container Version(s):

nvcr.io/nim/nvidia/llama-3.1-nemotron-nano-vl-8b-v1:1.3.0

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.