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
metadata
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 to install dependencies, run inference, evaluate, or train.