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Domain Capability Enhancement through Continuous Pre-training | 3B to 70B Parameter Scale | Document Understanding & OCR Enhancement | Chain-of-Thought Reasoning Support
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## Model Description
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Qianfan-VL is a series of general-purpose multimodal large language models enhanced for enterprise-level multimodal applications. The models offer deep optimization for high-frequency scenarios in industrial deployment while maintaining strong general capabilities.
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Domain Capability Enhancement through Continuous Pre-training | 3B to 70B Parameter Scale | Document Understanding & OCR Enhancement | Chain-of-Thought Reasoning Support
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## 🔗 Quick Links
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- **Repository**: [💻 GitHub](https://github.com/baidubce/Qianfan-VL)
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- **Models**: [🤗 Hugging Face](https://huggingface.co/baidu) | [🤖 ModelScope](https://modelscope.cn/organization/baidu-qianfan)
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- **Documentation**: [📚 Cookbook](https://github.com/baidubce/qianfan-models-cookbook) | [📝 Technical Report](https://github.com/baidubce/Qianfan-VL/blob/main/docs/qianfan_vl_report_comp.pdf)
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- **Blogs**: [🇨🇳 中文博客](https://baidubce.github.io/Qianfan-VL/) | [🇬🇧 English Blog](https://baidubce.github.io/Qianfan-VL/index_en.html)
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## Model Description
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Qianfan-VL is a series of general-purpose multimodal large language models enhanced for enterprise-level multimodal applications. The models offer deep optimization for high-frequency scenarios in industrial deployment while maintaining strong general capabilities.
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