Text Generation
PEFT
Safetensors
English
Chinese
macaron
a2ui
a2ui-v0.8
lora
dynamic-ui
structured-generation
json-generation
grpo
qwen3
Instructions to use mindlab-research/Macaron-A2UI-Tall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mindlab-research/Macaron-A2UI-Tall with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/vePFS-Mindverse/share/huggingface/hub/models--Qwen--Qwen3-30B-A3B-Instruct-2507/snapshots/0d7cf23991f47feeb3a57ecb4c9cee8ea4a17bfe") model = PeftModel.from_pretrained(base_model, "mindlab-research/Macaron-A2UI-Tall") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Citation
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```bibtex
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@misc{
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year = {2026},
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}
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```
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## Citation
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```bibtex
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@misc{kong2026macaron_a2ui,
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author = {Fancy Kong and Congjie Zheng and Murphy Zhuang and Rio Yang and Sueky Zhang and Hao Fu and Gene Jin and Andrew Chen and Pony Ma and {Mind Lab}},
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title = {Macaron-A2UI: A Model for Generative UI in Personal Agent},
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year = {2026},
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howpublished = {Mind Lab: A Lab for Experiential Intelligence},
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note = {https://macaron.im/mindlab/research/macaron-a2ui-generative-ui-personal-agent}
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}
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```
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