Instructions to use cua-ai/cua-s1-4b-0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cua-ai/cua-s1-4b-0.2 with PEFT:
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- Notebooks
- Google Colab
- Kaggle
cua-s1-4b-0.2
LoRA adapters on the frozen Qwen/Qwen3.5-4B base for closed-option computer-use element/action decisions, plus agentic multi-step rollouts in live GUI environments. Two independently trained adapters, text/ and multimodal/.
Part of the Cua-S1 research family. Does not replace cua-s1-4b-0.1; both are separately published.
Results, methodology, and code: libs/cua-bench-s1, libs/cua-s1.
Usage
from cua_s1.four_b import FourBModel
model = FourBModel(
base_model="Qwen/Qwen3.5-4B",
lora_adapter_path="cua-ai/cua-s1-4b-0.2", # picks text/ or multimodal/ by modality
modality="text",
)
License
The adapter weights are licensed Apache-2.0. Qwen/Qwen3.5-4B's own weights and license govern the base model itself and are not redistributed here.
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