🧠 Model
Florence-2-large
by microsoft
--- license: mit license_link: https://huggingface.co/microsoft/Florence-2-large/resolve/main/LICENSE pipeline_tag: image-text-to-text tags: - vision --- **This
🕐 Updated 12/19/2025
🧠 Architecture Explorer
Neural network architecture
1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer
About
**This is a continued pretrained version of Florence-2-large model with 4k context length, only 0.1B samples are used for continue pretraining, thus it might not be trained well. In addition, OCR task has been updated with line separator ('\n'). COCO OD AP 39.8** This Hub repository contains a HuggingFace's implementation of Florence-2 model...
📝 Limitations & Considerations
- • Benchmark scores may vary based on evaluation methodology and hardware configuration.
- • VRAM requirements are estimates; actual usage depends on quantization and batch size.
- • FNI scores are relative rankings and may change as new models are added.
- • Data source: [{"source_platform":"huggingface","source_url":"https://huggingface.co/microsoft/Florence-2-large","fetched_at":"2025-12-19T07:41:01.176Z","adapter_version":"3.2.0"}]
📚 Related Resources
📄 Related Papers
No related papers linked yet. Check the model's official documentation for research papers.
📊 Training Datasets
Training data information not available. Refer to the original model card for details.