Linux / amd64
The Llama 4 Scout (17Bx16E) NIM houses the Llama 4 Scout 17B 16E instruct model and delivers a multimodal VLM designed for efficient image understanding and reasoning tasks. It leverages the Llama 4 architecture with a focus on fast, high-throughput inference, making it ideal for use cases requiring grounded visual comprehen sion at scale. The service supports vision-language inputs and outputs detailed language reasoning based on visual context. This NIM enables users to self-host the Llama 4 Scout model in enterprise environments for advanced vision-language use cases utilizing accelerated inference with vLLM..
The container components are ready for commercial/non-commercial 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 4 Community License Agreement. Built with Llama.
Global, except EU
Build.Nvidia.com 04/05/2025 via https://build.nvidia.com/meta/llama-4-scout-17b-16e-instruct/
Huggingface 04/05/2025 via https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct
The Llama 4 Scout 17B 16E Instruct Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Llama 4 Scout 17B 16E Instruct | Llama 4 is intended for commercial and research use in multiple languages. For assistant-like chat and visual reasoning tasks. For visual recognition, image reasoning, captioning, and answering general questions about an image. | Automatic |
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.
For information on how to deploy this NIM, please visit - Get started
N/A
nvcr.io/nim/nvidia/meta-llama-4-scout-17b-16e-instruct:1.3.0
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