# google/medgemma-4b-it
#### NOTE
This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the
[medgemma](../../plugins/plugins_ecosystem/medgemma.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.
MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension.
**Details**
- Model name: `google/medgemma-4b-it`
- Model source: [https://huggingface.co/google/medgemma-4b-it](https://huggingface.co/google/medgemma-4b-it)
- Model author: Google DeepMind
- Model license: health-ai-developer-foundations ([https://developers.google.com/health-ai-developer-foundations/terms](https://developers.google.com/health-ai-developer-foundations/terms))
- Exposes embeddings? no
- Tags: `VLM, zero-shot`
**Requirements**
- Packages: `huggingface-hub, transformers, torch, torchvision, accelerate, bitsandbytes`
- 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/medgemma")
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("google/medgemma-4b-it")
dataset.apply_model(model, label_field="predictions")
session = fo.launch_app(dataset)
```