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README.md CHANGED
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  # 🎉 News
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- * 20251001: Released **EVisRAG (VisRAG 2.0)**, an end-to-end Vision-Language Model. Released our [Paper]() on arXiv. Released our [Model](https://huggingface.co/openbmb/EVisRAG-7B) on Hugging Face. Released our [Code](https://github.com/OpenBMB/VisRAG) on GitHub
 
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  # ✨ EVisRAG Pipeline
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- **EVisRAG** is an end-to-end framework which equips VLMs with precise visual perception during reasoning in multi-image scenarios. We trained and realeased VLRMs with EVisRAG built on [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct), and [Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct).
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  # ⚙️ Setup
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  ```bash
@@ -112,7 +113,7 @@ If none of the images contain sufficient information to answer the question, res
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  Formatting Requirements:
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  Use the exact tags <observe>, <evidence>, <think>, and <answer> for structured output.
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  It is possible that none, one, or several images contain relevant evidence.
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- If you find no evidence or few evidences, and insufficient to help you answer the question, follow the instruction above for insufficient information.
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  Question and images are provided below. Please follow the steps as instructed.
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  Question: {query}
 
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  # 🎉 News
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+ * 20251207: Updated the **EVisRAG-7B** model, added natural images from the [visual_haystacks](https://huggingface.co/datasets/tsunghanwu/visual_haystacks) dataset to the training corpus, expanding the model’s applicability across broader real-world scenarios.
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+ * 20251001: Released **EVisRAG (VisRAG 2.0)**, an end-to-end Vision-Language Model. Released our [Paper](https://arxiv.org/html/2510.09733v1) on arXiv. Released our [Model](https://huggingface.co/openbmb/EVisRAG-7B) on Hugging Face. Released our [Code](https://github.com/OpenBMB/VisRAG) on GitHub
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  # ✨ EVisRAG Pipeline
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+ **EVisRAG** is an end-to-end framework which equips VLMs with precise visual perception during reasoning in multi-image scenarios. We trained and released VLRMs with EVisRAG built on [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct), and [Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct).
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  # ⚙️ Setup
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  ```bash
 
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  Formatting Requirements:
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  Use the exact tags <observe>, <evidence>, <think>, and <answer> for structured output.
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  It is possible that none, one, or several images contain relevant evidence.
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+ If you find no evidence or little evidence, and insufficient to help you answer the question, follow the instructions above for insufficient information.
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  Question and images are provided below. Please follow the steps as instructed.
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  Question: {query}
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  "visual.merger.mlp.2.bias": "model-00003-of-00004.safetensors",
733
+ "visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
734
+ "visual.patch_embed.proj.weight": "model-00003-of-00004.safetensors"
735
  }
736
  }