Screen Understanding Micro V2
This model is a fine-tuned vision-language model (based on Idefics3 / SmolVLM architecture) trained for desktop screen understanding, UI element localization, and action grounding.
Model Details
- Architecture:
Idefics3ForConditionalGeneration - Trained Task: Screen perception, UI bounding box mapping, and grounded action prediction for desktop agents.
- Weights: SafeTensors format (~489 MB)
Associated Repositories
- GitHub Monorepo: llmos
- Dataset: screen-understanding-captures
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Model tree for chhola14bhatoora/screen-understanding-micro-v2
Base model
HuggingFaceTB/SmolLM2-1.7B Quantized
HuggingFaceTB/SmolLM2-1.7B-Instruct Quantized
HuggingFaceTB/SmolVLM-Instruct