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# allenai/MolmoPoint-Img-8B

<a href="../../plugins/plugins_ecosystem/molmo_point.html" target="_blank">
    <img src="https://img.shields.io/badge/Plugin-molmo_\_point-orange" alt="From Plugin">
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#### NOTE
This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the
[molmo_point](../../plugins/plugins_ecosystem/molmo_point.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.

MolmoPoint-Img-8B is a vision-language model specialised for pointing at UI elements and objects in screenshots. Given a text prompt, it returns normalized keypoint coordinates for each matching element found..

**Details**

- Model name: `allenai/MolmoPoint-Img-8B`
- Model source: [https://huggingface.co/allenai/MolmoPoint-Img-8B](https://huggingface.co/allenai/MolmoPoint-Img-8B)
- Model author: Allen AI
- Model license: Apache-2.0
- Exposes embeddings? no
- Tags: `keypoints, pointing, VLM, zero-shot, image-text-to-text, UI, screenshots`

**Requirements**

- Packages: `torch, transformers, pillow, huggingface-hub, molmo-utils`
- 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/molmo_point")

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("allenai/MolmoPoint-Img-8B")

dataset.apply_model(model, label_field="predictions")

session = fo.launch_app(dataset)
```
