# moonshotai/Kimi-VL-A3B-Thinking-2506
#### NOTE
This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the
[Kimi_VL_A3B](../../plugins/plugins_ecosystem/kimi_vl_a3b.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.
Kimi-VL is an efficient open-source Mixture-of-Experts (MoE) vision-language model (VLM) that offers advanced multimodal reasoning, long-context understanding, and strong agent capabilities—all while activating only 2.8B parameters in its language decoder.
**Details**
- Model name: `moonshotai/Kimi-VL-A3B-Thinking-2506`
- Model source: [https://huggingface.co/moonshotai/Kimi-VL-A3B-Thinking-2506](https://huggingface.co/moonshotai/Kimi-VL-A3B-Thinking-2506)
- Model author: Moonshot AI
- Model license: MIT license
- Exposes embeddings? no
- Tags: `agentic, detection, segmentation, ocr, VLM, zero-shot, visual-agent`
**Requirements**
- Packages: `huggingface-hub, transformers, torch, torchvision, accelerate, tiktoken, protobuf, blobfile`
- 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/Kimi_VL_A3B")
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("moonshotai/Kimi-VL-A3B-Thinking-2506")
dataset.apply_model(model, label_field="predictions")
session = fo.launch_app(dataset)
```