# google/gemma-4-31B-it From Plugin #### NOTE This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the [gemma4](../../plugins/plugins_ecosystem/gemma4.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. Gemma 4 31B is a 30.7B dense multimodal model supporting text and image. Image operations: detect, point, classify, vqa. No video support.. **Details** - Model name: `google/gemma-4-31B-it` - Model source: [https://huggingface.co/google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it) - Model author: Google DeepMind - Model license: gemma ([https://ai.google.dev/gemma/terms](https://ai.google.dev/gemma/terms)) - Exposes embeddings? no - Tags: `detection, classification, keypoints, vqa, torch, zero-shot, image, VLM` **Requirements** - Packages: `huggingface-hub, transformers>=4.52.0, torch, torchvision, accelerate, torchcodec` - 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/Burhan-Q/gemma4") 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/gemma-4-31B-it") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```