> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/automodel/_mcp/server.

# Llama-4-Scout-17B-16E-Instruct

> Reference Llama-4-Scout-17B-16E-Instruct checkpoint and architecture details for NeMo AutoModel, with model-family information, setup guidance, and upstream resources.

[Llama 4](https://ai.meta.com/blog/llama-4-multimodal-intelligence/) is Meta's first natively multimodal model family. Llama 4 Scout and Maverick are MoE models supporting interleaved image and text inputs.

Use this page as a checkpoint and architecture reference. Set up NeMo AutoModel with the
[latest container](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo-automodel) or follow the
[installation instructions](/get-started/installation).

## Model Reference

### Model Architecture

| Property                  | Value                                           |
| ------------------------- | ----------------------------------------------- |
| Task                      | Image-Text-to-Text                              |
| Architecture              | `Llama4ForConditionalGeneration`                |
| Parameters                | 17B active (MoE)                                |
| Hugging Face Organization | [meta-llama](https://huggingface.co/meta-llama) |

### Available Models

| Model                          | HF ID                                                                                                           |
| ------------------------------ | --------------------------------------------------------------------------------------------------------------- |
| Llama-4-Scout-17B-16E-Instruct | [`meta-llama/Llama-4-Scout-17B-16E-Instruct`](https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct) |

## Related Resources

* [VLM Fine-Tuning Guide](/recipes-e2e-examples/gemma-3-3n)