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SujiKim/learnweak-evocua-8b-lora-r32-libreoffice-impress
learnweak-evocua-8b-lora-r32-libreoffice-impress is a image-text-to-text model from SujiKim. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for peft.
This repository contains a LoRA adapter for meituan/EvoCUA-8B-20260105, specialized for the GIMP desktop domain using the LearnWeak framework.
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From the Hugging Face model README
This repository contains a LoRA adapter for meituan/EvoCUA-8B-20260105, specialized for the GIMP desktop domain using the LearnWeak framework.
LearnWeak is an annotation-free specialization framework for small computer-use agents (CUAs). It uses a stronger reference agent to identify a student model's weaknesses in a target domain, synthesizes targeted tasks, and constructs supervision automatically. It introduces an error-aware specialization objective that disentangles planning and execution errors, enabling more behaviorally precise updates than broad uniform supervision.
This specific adapter specializes the EvoCUA-8B model for the GIMP software domain.
You can serve the base model with this LoRA adapter enabled using vLLM:
vllm serve meituan/EvoCUA-8B-20260105 \
--enable-lora \
--max-lora-rank 32 \
--lora-modules learnweak-gimp=SujiKim/learnweak-evocua-8b-lora-r32-gimp
Use the LoRA module name learnweak-gimp when calling the served model.
If you find this work useful, please consider citing:
@article{kim2026learnweaknessesautomateddomain,
title = {Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents},
author = {Kim, Suji and Kim, Kangsa and Hwang, Sung Ju},
journal = {arXiv preprint arXiv:2605.28775},
year = {2026}
}
This project builds on OSWorld, LlamaFactory, and EvoCUA.