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README.md
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base_model:
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- Qwen/Qwen2.5-VL-7B-Instruct
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---
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# EvoLMM — LoRA Adapters for Qwen2.5-VL
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Lightweight **LoRA** adapters for the **EvoLMM** framework built on **Qwen/Qwen2.5-VL-7B-Instruct**.
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Use these adapters with the base model to run inference or evaluation without full fine-tuning weights.
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## Requirements
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- en
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base_model:
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- Qwen/Qwen2.5-VL-7B-Instruct
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tags:
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- self-reward
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- unsupervised-learning
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- code
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pipeline_tag: image-text-to-text
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library_name: transformers
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---
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# EvoLMM — LoRA Adapters for Qwen2.5-VL
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Lightweight **LoRA** adapters for the **EvoLMM** framework built on **Qwen/Qwen2.5-VL-7B-Instruct**.
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Use these adapters with the base model to run inference or evaluation without full fine-tuning weights.
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<div align="left" style="line-height: 1;">
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<a href="https://mbzuai-oryx.github.io/EvoLMM/" target="_blank" style="margin: 2px;">
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<img src="https://img.shields.io/badge/Project-Website-f68946" alt="Project Page"
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</a>
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<a href="https://github.com/mbzuai-oryx/EvoLMM" target="_blank" style="margin: 2px;">
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<img alt="GitHub" src="https://img.shields.io/badge/GitHub-EvoLMM-000?logo=github&color=0000FF"/>
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</a>
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<a href="https://arxiv.org/abs/2511.16672" target="_blank" style="margin: 2px;">
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<img src="https://img.shields.io/badge/arXiv-Paper-008ad7?logo=arxiv" alt="arXiv">
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</a>
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</div>
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## Requirements
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