# qwen3.8-27b-torch Hybrid-attention 27B vision-language model for object detection via 2D grounding. **Details** - Model name: `qwen3.8-27b-torch` - Model source: [https://huggingface.co/Qwen/Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B) - Model author: Qwen Team, Alibaba - Model license: Apache 2.0 - Model size: 51.78 GB - Exposes embeddings? no - Tags: `detection, vlm, torch, transformer, zero-shot` **Requirements** - Packages: `torch, torchvision, transformers>=5.8.0, accelerate, bitsandbytes` - CPU support - yes - GPU support - yes **Example usage** ```python import fiftyone as fo import fiftyone.zoo as foz 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("qwen3.8-27b-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```