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Model: Alibaba-DT/Logics-Parsing Source: Original Platform
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<div align="center">
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<img src="imgs/logo.jpg" width="80%" >
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</div>
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<p align="center">
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🤗 <a href="https://github.com/alibaba/Logics-Parsing">GitHub</a>   |   🤖 <a href="https://www.modelscope.cn/studios/Alibaba-DT/Logics-Parsing/summary">Demo</a>   |   📑 <a href="https://arxiv.org/abs/2509.19760">Technical Report</a>
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</p>
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## Introduction
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<div align="center">
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<img src="imgs/overview.png" alt="LogicsDocBench 概览" style="width: 800px; height: 250px;">
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</div>
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<div align="center">
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<table style="width: 800px;">
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<tr>
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<td align="center">
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<img src="imgs/report.gif" alt="研报示例">
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</td>
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<td align="center">
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<img src="imgs/chemistry.gif" alt="化学分子式示例">
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</td>
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<td align="center">
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<img src="imgs/paper.gif" alt="论文示例">
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</td>
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<td align="center">
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<img src="imgs/handwritten.gif" alt="手写示例">
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</td>
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</tr>
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<tr>
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<td align="center"><b>report</b></td>
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<td align="center"><b>chemistry</b></td>
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<td align="center"><b>paper</b></td>
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<td align="center"><b>handwritten</b></td>
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</tr>
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</table>
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</div>
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Logics-Parsing is a powerful, end-to-end document parsing model built upon a general Vision-Language Model (VLM) through Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL). It excels at accurately analyzing and structuring highly complex documents.
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## Key Features
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* **Effortless End-to-End Processing**
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* Our single-model architecture eliminates the need for complex, multi-stage pipelines. Deployment and inference are straightforward, going directly from a document image to structured output.
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* It demonstrates exceptional performance on documents with challenging layouts.
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* **Advanced Content Recognition**
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* It accurately recognizes and structures difficult content, including intricate scientific formulas.
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* Chemical structures are intelligently identified and can be represented in the standard **SMILES** format.
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* **Rich, Structured HTML Output**
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* The model generates a clean HTML representation of the document, preserving its logical structure.
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* Each content block (e.g., paragraph, table, figure, formula) is tagged with its **category**, **bounding box coordinates**, and **OCR text**.
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* It automatically identifies and filters out irrelevant elements like headers and footers, focusing only on the core content.
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* **State-of-the-Art Performance**
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* Logics-Parsing achieves the best performance on our in-house benchmark, which is specifically designed to comprehensively evaluate a model’s parsing capability on complex-layout documents and STEM content.
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## Benchmark
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Existing document-parsing benchmarks often provide limited coverage of complex layouts and STEM content. To address this, we constructed an in-house benchmark comprising 1,078 page-level images across nine major categories and over twenty sub-categories. Our model achieves the best performance on this benchmark.
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<div align="center">
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<img src="imgs/BenchCls.png">
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</div>
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<table>
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<tr>
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<td rowspan="2">Model Type</td>
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<td rowspan="2">Methods</td>
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<td colspan="2">Overall <sup>Edit</sup> ↓</td>
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<td colspan="2">Text Edit <sup>Edit</sup> ↓</td>
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<td colspan="2">Formula <sup>Edit</sup> ↓</td>
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<td colspan="2">Table <sup>TEDS</sup> ↑</td>
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<td colspan="2">Table <sup>Edit</sup> ↓</td>
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<td colspan="2">ReadOrder<sup>Edit</sup> ↓</td>
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<td rowspan="1">Chemistry<sup>Edit</sup> ↓</td>
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<td rowspan="1">HandWriting<sup>Edit</sup> ↓</td>
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</tr>
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<tr>
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<td>EN</td>
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<td>ZH</td>
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||||||
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<td>EN</td>
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||||||
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<td>ZH</td>
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||||||
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<td>EN</td>
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||||||
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<td>ZH</td>
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||||||
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<td>EN</td>
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||||||
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<td>ZH</td>
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||||||
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<td>EN</td>
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||||||
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<td>ZH</td>
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||||||
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<td>EN</td>
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||||||
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<td>ZH</td>
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<td>ALL</td>
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<td>ALL</td>
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</tr>
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<tr>
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||||||
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<td rowspan="7">Pipeline Tools</td>
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<td>doc2x</td>
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<td>0.209</td>
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||||||
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<td>0.188</td>
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||||||
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<td>0.128</td>
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||||||
|
<td>0.194</td>
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||||||
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<td>0.377</td>
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||||||
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<td>0.321</td>
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||||||
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<td>81.1</td>
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||||||
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<td>85.3</td>
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||||||
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<td><ins>0.148</ins></td>
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||||||
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<td><ins>0.115</ins></td>
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||||||
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<td>0.146</td>
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||||||
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<td>0.122</td>
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<td>1.0</td>
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||||||
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<td>0.307</td>
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</tr>
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<tr>
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<td>Textin</td>
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||||||
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<td>0.153</td>
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||||||
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<td>0.158</td>
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||||||
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<td>0.132</td>
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||||||
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<td>0.190</td>
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||||||
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<td>0.185</td>
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||||||
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<td>0.223</td>
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<td>76.7</td>
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<td><ins>86.3</ins></td>
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||||||
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<td>0.176</td>
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||||||
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<td><b>0.113</b></td>
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||||||
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<td><b>0.118</b></td>
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||||||
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<td><b>0.104</b></td>
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<td>1.0</td>
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<td>0.344</td>
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</tr>
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<tr>
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<td>mathpix<sup>*</sup></td>
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<td><ins>0.128</ins></td>
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<td><ins>0.146</ins></td>
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||||||
|
<td>0.128</td>
|
||||||
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<td><ins>0.152</ins></td>
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||||||
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<td><b>0.06</b></td>
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<td><b>0.142</b></td>
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<td><b>86.2</b></td>
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<td><b>86.6</b></td>
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<td><b>0.120</b></td>
|
||||||
|
<td>0.127</td>
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<td>0.204</td>
|
||||||
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<td>0.164</td>
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<td>0.552</td>
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<td>0.263</td>
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</tr>
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<tr>
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<td>PP_StructureV3</td>
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<td>0.220</td>
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<td>0.226</td>
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<td>0.172</td>
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<td>0.29</td>
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<td>0.272</td>
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<td>0.276</td>
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<td>66</td>
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<td>71.5</td>
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<td>0.237</td>
|
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<td>0.193</td>
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<td>0.201</td>
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<td>0.143</td>
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<td>1.0</td>
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<td>0.382</td>
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</tr>
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<tr>
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<td>Mineru2</td>
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<td>0.212</td>
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||||||
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<td>0.245</td>
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<td>0.134</td>
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<td>0.195</td>
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|
<td>0.280</td>
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<td>0.407</td>
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<td>67.5</td>
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<td>71.8</td>
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<td>0.228</td>
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<td>0.203</td>
|
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<td>0.205</td>
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|
<td>0.177</td>
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<td>1.0</td>
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<td>0.387</td>
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</tr>
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<tr>
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<td>Marker</td>
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<td>0.324</td>
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||||||
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<td>0.409</td>
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<td>0.188</td>
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<td>0.289</td>
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|
<td>0.285</td>
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|
<td>0.383</td>
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<td>65.5</td>
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<td>50.4</td>
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<td>0.593</td>
|
||||||
|
<td>0.702</td>
|
||||||
|
<td>0.23</td>
|
||||||
|
<td>0.262</td>
|
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<td>1.0</td>
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<td>0.50</td>
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</tr>
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<tr>
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<td>Pix2text</td>
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||||||
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<td>0.447</td>
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||||||
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<td>0.547</td>
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||||||
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<td>0.485</td>
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||||||
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<td>0.577</td>
|
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<td>0.312</td>
|
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<td>0.465</td>
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<td>64.7</td>
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<td>63.0</td>
|
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<td>0.566</td>
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<td>0.613</td>
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<td>0.424</td>
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<td>0.534</td>
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<td>1.0</td>
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<td>0.95</td>
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</tr>
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<tr>
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<td rowspan="8">Expert VLMs</td>
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<td>Dolphin</td>
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||||||
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<td>0.208</td>
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||||||
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<td>0.256</td>
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<td>0.149</td>
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<td>0.189</td>
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<td>0.334</td>
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<td>0.346</td>
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<td>72.9</td>
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<td>60.1</td>
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<td>0.192</td>
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<td>0.35</td>
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<td>0.160</td>
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<td>0.139</td>
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<td>0.984</td>
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<td>0.433</td>
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</tr>
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<tr>
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<td>dots.ocr</td>
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<td>0.186</td>
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<td>0.198</td>
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<td><ins>0.115</ins></td>
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<td>0.169</td>
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<td>0.291</td>
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<td>0.358</td>
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<td>79.5</td>
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<td>82.5</td>
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<td>0.172</td>
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<td>0.141</td>
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<td>0.165</td>
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<td>0.123</td>
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<td>1.0</td>
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<td><ins>0.255</ins></td>
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</tr>
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<tr>
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<td>MonkeyOcr</td>
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||||||
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<td>0.193</td>
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||||||
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<td>0.259</td>
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<td>0.127</td>
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<td>0.236</td>
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<td>0.262</td>
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<td>0.325</td>
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<td>78.4</td>
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<td>74.7</td>
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<td>0.186</td>
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<td>0.294</td>
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<td>0.197</td>
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<td>0.180</td>
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<td>1.0</td>
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<td>0.623</td>
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</tr>
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<tr>
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<td>OCRFlux</td>
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||||||
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<td>0.252</td>
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||||||
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<td>0.254</td>
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||||||
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<td>0.134</td>
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||||||
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<td>0.195</td>
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<td>0.326</td>
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||||||
|
<td>0.405</td>
|
||||||
|
<td>58.3</td>
|
||||||
|
<td>70.2</td>
|
||||||
|
<td>0.358</td>
|
||||||
|
<td>0.260</td>
|
||||||
|
<td>0.191</td>
|
||||||
|
<td>0.156</td>
|
||||||
|
<td>1.0</td>
|
||||||
|
<td>0.284</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td>Gotocr</td>
|
||||||
|
<td>0.247</td>
|
||||||
|
<td>0.249</td>
|
||||||
|
<td>0.181</td>
|
||||||
|
<td>0.213</td>
|
||||||
|
<td>0.231</td>
|
||||||
|
<td>0.318</td>
|
||||||
|
<td>59.5</td>
|
||||||
|
<td>74.7</td>
|
||||||
|
<td>0.38</td>
|
||||||
|
<td>0.299</td>
|
||||||
|
<td>0.195</td>
|
||||||
|
<td>0.164</td>
|
||||||
|
<td>0.969</td>
|
||||||
|
<td>0.446</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td>Olmocr</td>
|
||||||
|
<td>0.341</td>
|
||||||
|
<td>0.382</td>
|
||||||
|
<td>0.125</td>
|
||||||
|
<td>0.205</td>
|
||||||
|
<td>0.719</td>
|
||||||
|
<td>0.766</td>
|
||||||
|
<td>57.1</td>
|
||||||
|
<td>56.6</td>
|
||||||
|
<td>0.327</td>
|
||||||
|
<td>0.389</td>
|
||||||
|
<td>0.191</td>
|
||||||
|
<td>0.169</td>
|
||||||
|
<td>1.0</td>
|
||||||
|
<td>0.294</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td>SmolDocling</td>
|
||||||
|
<td>0.657</td>
|
||||||
|
<td>0.895</td>
|
||||||
|
<td>0.486</td>
|
||||||
|
<td>0.932</td>
|
||||||
|
<td>0.859</td>
|
||||||
|
<td>0.972</td>
|
||||||
|
<td>18.5</td>
|
||||||
|
<td>1.5</td>
|
||||||
|
<td>0.86</td>
|
||||||
|
<td>0.98</td>
|
||||||
|
<td>0.413</td>
|
||||||
|
<td>0.695</td>
|
||||||
|
<td>1.0</td>
|
||||||
|
<td>0.927</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td><b>Logics-Parsing</b></td>
|
||||||
|
<td><b>0.124</b></td>
|
||||||
|
<td><b>0.145</b></td>
|
||||||
|
<td><b>0.089</b></td>
|
||||||
|
<td><b>0.139</b></td>
|
||||||
|
<td><ins>0.106</ins></td>
|
||||||
|
<td><ins>0.165</ins></td>
|
||||||
|
<td>76.6</td>
|
||||||
|
<td>79.5</td>
|
||||||
|
<td>0.165</td>
|
||||||
|
<td>0.166</td>
|
||||||
|
<td><ins>0.136</ins></td>
|
||||||
|
<td><ins>0.113</ins></td>
|
||||||
|
<td><b>0.519</b></td>
|
||||||
|
<td><b>0.252</b></td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td rowspan="5">General VLMs</td>
|
||||||
|
<td>Qwen2VL-72B</td>
|
||||||
|
<td>0.298</td>
|
||||||
|
<td>0.342</td>
|
||||||
|
<td>0.142</td>
|
||||||
|
<td>0.244</td>
|
||||||
|
<td>0.431</td>
|
||||||
|
<td>0.363</td>
|
||||||
|
<td>64.2</td>
|
||||||
|
<td>55.5</td>
|
||||||
|
<td>0.425</td>
|
||||||
|
<td>0.581</td>
|
||||||
|
<td>0.193</td>
|
||||||
|
<td>0.182</td>
|
||||||
|
<td>0.792</td>
|
||||||
|
<td>0.359</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td>Qwen2.5VL-72B</td>
|
||||||
|
<td>0.233</td>
|
||||||
|
<td>0.263</td>
|
||||||
|
<td>0.162</td>
|
||||||
|
<td>0.24</td>
|
||||||
|
<td>0.251</td>
|
||||||
|
<td>0.257</td>
|
||||||
|
<td>69.6</td>
|
||||||
|
<td>67</td>
|
||||||
|
<td>0.313</td>
|
||||||
|
<td>0.353</td>
|
||||||
|
<td>0.205</td>
|
||||||
|
<td>0.204</td>
|
||||||
|
<td>0.597</td>
|
||||||
|
<td>0.349</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td>Doubao-1.6</td>
|
||||||
|
<td>0.188</td>
|
||||||
|
<td>0.248</td>
|
||||||
|
<td>0.129</td>
|
||||||
|
<td>0.219</td>
|
||||||
|
<td>0.273</td>
|
||||||
|
<td>0.336</td>
|
||||||
|
<td>74.9</td>
|
||||||
|
<td>69.7</td>
|
||||||
|
<td>0.180</td>
|
||||||
|
<td>0.288</td>
|
||||||
|
<td>0.171</td>
|
||||||
|
<td>0.148</td>
|
||||||
|
<td>0.601</td>
|
||||||
|
<td>0.317</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td>GPT-5</td>
|
||||||
|
<td>0.242</td>
|
||||||
|
<td>0.373</td>
|
||||||
|
<td>0.119</td>
|
||||||
|
<td>0.36</td>
|
||||||
|
<td>0.398</td>
|
||||||
|
<td>0.456</td>
|
||||||
|
<td>67.9</td>
|
||||||
|
<td>55.8</td>
|
||||||
|
<td>0.26</td>
|
||||||
|
<td>0.397</td>
|
||||||
|
<td>0.191</td>
|
||||||
|
<td>0.28</td>
|
||||||
|
<td>0.88</td>
|
||||||
|
<td>0.46</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td>Gemini2.5 pro</td>
|
||||||
|
<td>0.185</td>
|
||||||
|
<td>0.20</td>
|
||||||
|
<td><ins>0.115</ins></td>
|
||||||
|
<td>0.155</td>
|
||||||
|
<td>0.288</td>
|
||||||
|
<td>0.326</td>
|
||||||
|
<td><ins>82.6</ins></td>
|
||||||
|
<td>80.3</td>
|
||||||
|
<td>0.154</td>
|
||||||
|
<td>0.182</td>
|
||||||
|
<td>0.181</td>
|
||||||
|
<td>0.136</td>
|
||||||
|
<td><ins>0.535</ins></td>
|
||||||
|
<td>0.26</td>
|
||||||
|
</tr>
|
||||||
|
|
||||||
|
</table>
|
||||||
|
<!-- 脚注说明 -->
|
||||||
|
<tr>
|
||||||
|
<td colspan="5">
|
||||||
|
<sup>*</sup> Tested on the v3/PDF Conversion API (August 2025 deployment).
|
||||||
|
|
||||||
|
</td>
|
||||||
|
</tr>
|
||||||
|
|
||||||
|
|
||||||
|
## Quick Start
|
||||||
|
### 1. Installation
|
||||||
|
```shell
|
||||||
|
conda create -n logis-parsing python=3.10
|
||||||
|
conda activate logis-parsing
|
||||||
|
|
||||||
|
pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu124
|
||||||
|
|
||||||
|
```
|
||||||
|
### 2. Download Model Weights
|
||||||
|
|
||||||
|
```
|
||||||
|
# Download our model from Modelscope.
|
||||||
|
pip install modelscope
|
||||||
|
python download_model.py -t modelscope
|
||||||
|
|
||||||
|
# Download our model from huggingface.
|
||||||
|
pip install huggingface_hub
|
||||||
|
python download_model.py -t huggingface
|
||||||
|
```
|
||||||
|
|
||||||
|
### 3. Inference
|
||||||
|
```shell
|
||||||
|
python3 inference.py --image_path PATH_TO_INPUT_IMG --output_path PATH_TO_OUTPUT --model_path PATH_TO_MODEL
|
||||||
|
```
|
||||||
|
|
||||||
|
## Acknowledgments
|
||||||
|
|
||||||
|
|
||||||
|
We would like to acknowledge the following open-source projects that provided inspiration and reference for this work:
|
||||||
|
- [Qwen2.5-VL](https://github.com/QwenLM/Qwen2.5-VL)
|
||||||
|
- [OmniDocBench](https://github.com/opendatalab/OmniDocBench)
|
||||||
|
- [Mathpix](https://mathpix.com/)
|
||||||
|
|
||||||
24
added_tokens.json
Normal file
24
added_tokens.json
Normal file
@@ -0,0 +1,24 @@
|
|||||||
|
{
|
||||||
|
"</tool_call>": 151658,
|
||||||
|
"<tool_call>": 151657,
|
||||||
|
"<|box_end|>": 151649,
|
||||||
|
"<|box_start|>": 151648,
|
||||||
|
"<|endoftext|>": 151643,
|
||||||
|
"<|file_sep|>": 151664,
|
||||||
|
"<|fim_middle|>": 151660,
|
||||||
|
"<|fim_pad|>": 151662,
|
||||||
|
"<|fim_prefix|>": 151659,
|
||||||
|
"<|fim_suffix|>": 151661,
|
||||||
|
"<|im_end|>": 151645,
|
||||||
|
"<|im_start|>": 151644,
|
||||||
|
"<|image_pad|>": 151655,
|
||||||
|
"<|object_ref_end|>": 151647,
|
||||||
|
"<|object_ref_start|>": 151646,
|
||||||
|
"<|quad_end|>": 151651,
|
||||||
|
"<|quad_start|>": 151650,
|
||||||
|
"<|repo_name|>": 151663,
|
||||||
|
"<|video_pad|>": 151656,
|
||||||
|
"<|vision_end|>": 151653,
|
||||||
|
"<|vision_pad|>": 151654,
|
||||||
|
"<|vision_start|>": 151652
|
||||||
|
}
|
||||||
3
chat_template.json
Normal file
3
chat_template.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
|
||||||
|
}
|
||||||
65
config.json
Normal file
65
config.json
Normal file
@@ -0,0 +1,65 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
"Qwen2_5_VLForConditionalGeneration"
|
||||||
|
],
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"bos_token_id": 151643,
|
||||||
|
"eos_token_id": 151645,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 3584,
|
||||||
|
"image_token_id": 151655,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 18944,
|
||||||
|
"max_position_embeddings": 128000,
|
||||||
|
"max_window_layers": 28,
|
||||||
|
"model_type": "qwen2_5_vl",
|
||||||
|
"num_attention_heads": 28,
|
||||||
|
"num_hidden_layers": 28,
|
||||||
|
"num_key_value_heads": 4,
|
||||||
|
"rms_norm_eps": 1e-06,
|
||||||
|
"rope_scaling": {
|
||||||
|
"mrope_section": [
|
||||||
|
16,
|
||||||
|
24,
|
||||||
|
24
|
||||||
|
],
|
||||||
|
"rope_type": "default",
|
||||||
|
"type": "default"
|
||||||
|
},
|
||||||
|
"rope_theta": 1000000.0,
|
||||||
|
"sliding_window": 32768,
|
||||||
|
"tie_word_embeddings": false,
|
||||||
|
"torch_dtype": "bfloat16",
|
||||||
|
"transformers_version": "4.51.1",
|
||||||
|
"use_cache": false,
|
||||||
|
"use_sliding_window": false,
|
||||||
|
"video_token_id": 151656,
|
||||||
|
"vision_config": {
|
||||||
|
"depth": 32,
|
||||||
|
"fullatt_block_indexes": [
|
||||||
|
7,
|
||||||
|
15,
|
||||||
|
23,
|
||||||
|
31
|
||||||
|
],
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 1280,
|
||||||
|
"in_channels": 3,
|
||||||
|
"in_chans": 3,
|
||||||
|
"intermediate_size": 3420,
|
||||||
|
"model_type": "qwen2_5_vl",
|
||||||
|
"num_heads": 16,
|
||||||
|
"out_hidden_size": 3584,
|
||||||
|
"patch_size": 14,
|
||||||
|
"spatial_merge_size": 2,
|
||||||
|
"spatial_patch_size": 14,
|
||||||
|
"temporal_patch_size": 2,
|
||||||
|
"tokens_per_second": 2,
|
||||||
|
"torch_dtype": "bfloat16",
|
||||||
|
"window_size": 112
|
||||||
|
},
|
||||||
|
"vision_end_token_id": 151653,
|
||||||
|
"vision_start_token_id": 151652,
|
||||||
|
"vision_token_id": 151654,
|
||||||
|
"vocab_size": 152064
|
||||||
|
}
|
||||||
12
generation_config.json
Normal file
12
generation_config.json
Normal file
@@ -0,0 +1,12 @@
|
|||||||
|
{
|
||||||
|
"bos_token_id": 151643,
|
||||||
|
"do_sample": true,
|
||||||
|
"eos_token_id": [
|
||||||
|
151645,
|
||||||
|
151643
|
||||||
|
],
|
||||||
|
"pad_token_id": 151643,
|
||||||
|
"repetition_penalty": 1.05,
|
||||||
|
"temperature": 1e-06,
|
||||||
|
"transformers_version": "4.51.0"
|
||||||
|
}
|
||||||
3
imgs/BenchCls.png
Normal file
3
imgs/BenchCls.png
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:09689262b6d31016e5fb432b514b0b88cce7fb72ce2ea90ada1242bb81930ea9
|
||||||
|
size 2110310
|
||||||
3
imgs/chemistry.gif
Normal file
3
imgs/chemistry.gif
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:e7ad1406d65f898eca0a0476566e838d3a7e2dbff0288fe4386b09f1754f9bec
|
||||||
|
size 2218932
|
||||||
3
imgs/chemistryx.gif
Normal file
3
imgs/chemistryx.gif
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:de3b1ef75062e053bb213cb76bae7cbecf073c6e0030fdc5ad952b37637f9ed0
|
||||||
|
size 1759713
|
||||||
3
imgs/handwritten.gif
Normal file
3
imgs/handwritten.gif
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:f2b0f163a2ed38aa97097740f8c26e5314784111455bcdc146c9506d9a80f360
|
||||||
|
size 11947298
|
||||||
BIN
imgs/logo.jpg
Normal file
BIN
imgs/logo.jpg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 54 KiB |
3
imgs/overview.png
Normal file
3
imgs/overview.png
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:58983b7d4267c0d050b71e7597ccc90e8424e8e2a1ec7c8794f0cedc816210c3
|
||||||
|
size 1896075
|
||||||
BIN
imgs/overview1.jpg
Normal file
BIN
imgs/overview1.jpg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 253 KiB |
3
imgs/paper.gif
Normal file
3
imgs/paper.gif
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
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"visual.blocks.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.8.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.8.norm2.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.norm1.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.merger.ln_q.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.merger.mlp.0.bias": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.merger.mlp.0.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.merger.mlp.2.bias": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
|
||||||
|
"visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
|
||||||
|
}
|
||||||
|
}
|
||||||
29
preprocessor_config.json
Normal file
29
preprocessor_config.json
Normal file
@@ -0,0 +1,29 @@
|
|||||||
|
{
|
||||||
|
"do_convert_rgb": true,
|
||||||
|
"do_normalize": true,
|
||||||
|
"do_rescale": true,
|
||||||
|
"do_resize": true,
|
||||||
|
"image_mean": [
|
||||||
|
0.48145466,
|
||||||
|
0.4578275,
|
||||||
|
0.40821073
|
||||||
|
],
|
||||||
|
"image_processor_type": "Qwen2VLImageProcessor",
|
||||||
|
"image_std": [
|
||||||
|
0.26862954,
|
||||||
|
0.26130258,
|
||||||
|
0.27577711
|
||||||
|
],
|
||||||
|
"max_pixels": 1048576,
|
||||||
|
"merge_size": 2,
|
||||||
|
"min_pixels": 3136,
|
||||||
|
"patch_size": 14,
|
||||||
|
"processor_class": "Qwen2_5_VLProcessor",
|
||||||
|
"resample": 3,
|
||||||
|
"rescale_factor": 0.00392156862745098,
|
||||||
|
"size": {
|
||||||
|
"longest_edge": 1048576,
|
||||||
|
"shortest_edge": 3136
|
||||||
|
},
|
||||||
|
"temporal_patch_size": 2
|
||||||
|
}
|
||||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||||
|
size 11421896
|
||||||
210
tokenizer_config.json
Normal file
210
tokenizer_config.json
Normal file
@@ -0,0 +1,210 @@
|
|||||||
|
{
|
||||||
|
"add_bos_token": false,
|
||||||
|
"add_prefix_space": false,
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"151643": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151644": {
|
||||||
|
"content": "<|im_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151645": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151646": {
|
||||||
|
"content": "<|object_ref_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151647": {
|
||||||
|
"content": "<|object_ref_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151648": {
|
||||||
|
"content": "<|box_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151649": {
|
||||||
|
"content": "<|box_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151650": {
|
||||||
|
"content": "<|quad_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151651": {
|
||||||
|
"content": "<|quad_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151652": {
|
||||||
|
"content": "<|vision_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151653": {
|
||||||
|
"content": "<|vision_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151654": {
|
||||||
|
"content": "<|vision_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151655": {
|
||||||
|
"content": "<|image_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151656": {
|
||||||
|
"content": "<|video_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151657": {
|
||||||
|
"content": "<tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151658": {
|
||||||
|
"content": "</tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151659": {
|
||||||
|
"content": "<|fim_prefix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151660": {
|
||||||
|
"content": "<|fim_middle|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151661": {
|
||||||
|
"content": "<|fim_suffix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151662": {
|
||||||
|
"content": "<|fim_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"bos_token": null,
|
||||||
|
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"extra_special_tokens": {},
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|endoftext|>",
|
||||||
|
"padding_side": "left",
|
||||||
|
"processor_class": "Qwen2_5_VLProcessor",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null
|
||||||
|
}
|
||||||
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user