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README.md
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## Introduction
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**CogAgent** is an open-source visual language model improved based on **CogVLM**.
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📖 Paper: https://arxiv.org/abs/2312.08914
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+ VQAv2
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+ OK-VQ
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+ TextVQA
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+ ST-VQA
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+ ChartQA
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+ infoVQA
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+ DocVQA
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+ MM-Vet
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+ POPE
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1. Supports higher resolution visual input and dialogue question-answering. It supports ultra-high-resolution image inputs of **1120x1120**.
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```bash
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python cli_demo_hf.py --bf16
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```
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## License
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## Introduction
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**CogAgent** is an open-source visual language model improved based on **CogVLM**. CogAgent-18B has 11 billion visual and 7 billion language parameters.
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📖 Paper: https://arxiv.org/abs/2312.08914
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🚀 GitHub: For more information such as demo, fine-tuning, and query prompts, please refer to [Our GitHub](https://github.com/THUDM/CogVLM/)
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CogAgent demonstrates **strong performance** in image understanding and GUI agent:
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1. CogAgent-18B **achieves state-of-the-art generalist performance on 9 cross-modal benchmarks**, including: VQAv2, MM-Vet, POPE, ST-VQA, OK-VQA, TextVQA, ChartQA, InfoVQA, DocVQA.
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2. CogAgent-18B significantly **surpasses existing models on GUI operation datasets**, including AITW and Mind2Web.
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In addition to all the **features** already present in **CogVLM** (visual multi-round dialogue, visual grounding), **CogAgent**:
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1. Supports higher resolution visual input and dialogue question-answering. It supports ultra-high-resolution image inputs of **1120x1120**.
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```bash
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python cli_demo_hf.py --bf16
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```
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## License
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