# nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1
#### NOTE
This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the
[Nemotron_Nano_VL](../../plugins/plugins_ecosystem/nemotron_nano_vl.html) plugin, maintained by the community.
It is not part of FiftyOne core and may have special installation requirements.
Please review the plugin documentation and license before use.
Llama Nemotron Nano VL is a leading document intelligence vision language model (VLMs) that enables the ability to query and summarize images from the physical or virtual world..
**Details**
- Model name: `nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1`
- Model source: [https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1](https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1)
- Model author: NVIDIA
- Model license: NVIDIA Open License Agreement
- Exposes embeddings? no
- Tags: `detection, ocr, VLM, classification, zero-shot, visual-agent`
**Requirements**
- Packages: `huggingface-hub, transformers, torch, torchvision, timm, einops, open-clip-torch`
- CPU support
- yes
- GPU support
- yes
**Example usage**
```python
import fiftyone as fo
import fiftyone.zoo as foz
foz.register_zoo_model_source("https://github.com/harpreetsahota204/Nemotron_Nano_VL")
dataset = foz.load_zoo_dataset(
"coco-2017",
split="validation",
dataset_name=fo.get_default_dataset_name(),
max_samples=50,
shuffle=True,
)
model = foz.load_zoo_model("nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1")
dataset.apply_model(model, label_field="predictions")
session = fo.launch_app(dataset)
```