# XiaomiMiMo/MiMo-VL-7B-SFT-GGUF
#### NOTE
This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the
[MiMo_VL](../../plugins/plugins_ecosystem/mimo_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.
MiMo-VL-7B is a compact yet powerful vision-language model developed through extensive pre-training and reinforcement learning to achieve state-of-the-art performance on a variety of visual-language tasks..
**Details**
- Model name: `XiaomiMiMo/MiMo-VL-7B-SFT-GGUF`
- Model source: [https://huggingface.co/XiaomiMiMo/MiMo-VL-7B-SFT-GGUF](https://huggingface.co/XiaomiMiMo/MiMo-VL-7B-SFT-GGUF)
- Model author: XiaomiMiMo
- Model license: MIT
- Exposes embeddings? no
- Tags: `detection, ocr, VLM, classification, zero-shot, visual-agent`
**Requirements**
- Packages: `huggingface-hub, transformers, torch, torchvision, qwen-vl-utils, accelerate`
- 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/MiMo_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("XiaomiMiMo/MiMo-VL-7B-SFT-GGUF")
dataset.apply_model(model, label_field="predictions")
session = fo.launch_app(dataset)
```