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update Youtu-VL
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README.md

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@@ -23,7 +23,7 @@ Tip is powered by a series of self-developed lightweight models:
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- Youtu-LLM: A compact 1.96B model with powerful native agent capabilities.
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> [🤗 Model](https://huggingface.co/collections/tencent/youtu) | [📑 Technical Report](https://arxiv.org/abs/2512.24618) | [🚀 Quick Start Guide](youtu-llm/README.md)
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- Youtu-VL: A multimodal large model based on Youtu-LLM-4B, featuring comprehensive visual perception capabilities.
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> [🤗 Model](https://huggingface.co/collections/tencent/youtu) | [📑 Technical Report]() | [🚀 Quick Start Guide](https://github.com/TencentCloudADP/youtu-vl/blob/main/README.md)
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> [🤗 Model](https://huggingface.co/collections/tencent/youtu) | [📑 Technical Report](https://arxiv.org/abs/2601.19798) | [🚀 Quick Start Guide](https://github.com/TencentCloudADP/youtu-vl/blob/main/README.md)
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You are also free to swap out the model for any alternative you prefer.
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@@ -412,5 +412,9 @@ If you find this work useful, please consider citing:
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title={Youtu-VL: Unleashing Visual Potential via Unified Vision-Language Supervision},
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author={Tencent Youtu Lab},
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year={2026},
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eprint={2601.19798},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2601.19798},
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}
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```

README_CN.md

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@@ -23,7 +23,7 @@ Tip 由自研的一系列轻量级模型驱动:
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- Youtu-LLM:1.96B 的小巧大模型,强悍原生智能体能力。
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> [🤗 模型](https://huggingface.co/collections/tencent/youtu) | [📑 技术报告](https://arxiv.org/abs/2512.24618) | [🚀 快速入门](youtu-llm/README_CN.md)
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- Youtu-VL: 基于 Youtu-LLM-4B 的多模态大模型,具备全面的视觉感知能力。
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> [🤗 模型](https://huggingface.co/collections/tencent/youtu) | [📑 技术报告]() | [🚀 快速入门](https://github.com/TencentCloudADP/youtu-vl/blob/main/README.md)
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> [🤗 模型](https://huggingface.co/collections/tencent/youtu) | [📑 技术报告](https://arxiv.org/abs/2601.19798) | [🚀 快速入门](https://github.com/TencentCloudADP/youtu-vl/blob/main/README.md)
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你也可以随时将模型替换为你喜欢的任何其他模型。
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@@ -417,5 +417,9 @@ Youtu-Tip 项目以及 Youtu-LLM 模型基于 [LICENSE](./LICENSE) 进行开源
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title={Youtu-VL: Unleashing Visual Potential via Unified Vision-Language Supervision},
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author={Tencent Youtu Lab},
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year={2026},
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eprint={2601.19798},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2601.19798},
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}
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```

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