openbmb/MiniCPM-V-4_5#

From Plugin

Note

This is a remotely-sourced model from the minicpm-v 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.

MiniCPM-V 4.5 is the latest and most capable model in the MiniCPM-V series. The model is built on Qwen3-8B and SigLIP2-400M with a total of 8B parameters..

Details

  • Model name: openbmb/MiniCPM-V-4_5

  • Model source: https://huggingface.co/openbmb/MiniCPM-V-4_5

  • Model author: Open Lab for Big Model Base

  • Model license: MiniCPM Model License

  • Exposes embeddings? no

  • Tags: detection, keypoints, ocr, VLM, classification, zero-shot

Requirements

  • Packages: huggingface-hub, transformers, torch, torchvision

  • CPU support

    • yes

  • GPU support

    • yes

Example usage

 1import fiftyone as fo
 2import fiftyone.zoo as foz
 3
 4foz.register_zoo_model_source("https://github.com/harpreetsahota204/minicpm-v")
 5
 6dataset = foz.load_zoo_dataset(
 7    "coco-2017",
 8    split="validation",
 9    dataset_name=fo.get_default_dataset_name(),
10    max_samples=50,
11    shuffle=True,
12)
13
14model = foz.load_zoo_model("openbmb/MiniCPM-V-4_5")
15
16dataset.apply_model(model, label_field="predictions")
17
18session = fo.launch_app(dataset)