Instructions to use ruotian/ConClick-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ruotian/ConClick-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-8B-Instruct") model = PeftModel.from_pretrained(base_model, "ruotian/ConClick-8B") - Notebooks
- Google Colab
- Kaggle
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Download README.md from ruotian/ConClick-8B: direct link, hf CLI and curl.
- Browser
- Download file 857 Bytes
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https://huggingface.co/ruotian/ConClick-8B/resolve/main/README.md
- Command line
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hf download hf://ruotian/ConClick-8B/README.md
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curl -L -o README.md https://huggingface.co/ruotian/ConClick-8B/resolve/main/README.md
857 Bytes
| license: apache-2.0 | |
| library_name: peft | |
| base_model: Qwen/Qwen3-VL-8B-Instruct | |
| base_model_relation: adapter | |
| datasets: | |
| - ruotian/ConClick-Data | |
| pipeline_tag: image-text-to-text | |
| tags: | |
| - gui-grounding | |
| - computer-use | |
| - qwen3-vl | |
| - lora | |
| - conclick | |
| # ConClick-8B | |
| Model for **ConClick: Element-wise Contrastive Learning Improves GUI Grounding**. ConClick trains on target–distractor examples with coordinate supervision, listwise ranking, and pairwise margin losses. | |
| | Inference | ScreenSpot-Pro | MMBench-GUI L2 | OSWorld-G | | |
| |---|---:|---:|---:| | |
| | Direct | 66.03 | 86.28 | 70.20 | | |
| | + ReClick | 72.36 | 87.28 | 71.76 | | |
| Contains the LoRA adapter, selection head, and visual-merger state for **Qwen/Qwen3-VL-8B-Instruct**. Use the [ConClick repository](https://github.com/zhangruotian/ConClick) to install dependencies, run inference, evaluate, or train. |