| --- |
| license: mit |
| language: |
| - en |
| tags: |
| - text-rewriting |
| - web |
| - generative-engine-optimization |
| - geo |
| - reinforcement-learning |
| - grpo |
| - qwen3 |
| - transformers |
| - safetensors |
| library_name: transformers |
| pipeline_tag: text-generation |
| base_model: Qwen/Qwen3-1.7B |
| --- |
| |
| # AutoGEO_mini_Qwen1.7B |
|
|
| A lightweight **web-document rewriting** model fine-tuned with **GRPO** (reinforcement learning) from **Qwen3-1.7B**, developed as part of the AutoGEO framework introduced in: |
|
|
| **WHAT GENERATIVE SEARCH ENGINES LIKE AND HOW TO OPTIMIZE WEB CONTENT COOPERATIVELY** |
| Paper (arXiv): https://arxiv.org/abs/2510.11438 |
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| --- |
|
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| ## What this model does |
|
|
| **AutoGEO_mini_Qwen1.7B** rewrites raw web documents into improved versions that are better aligned with generative search engines’ preferences (i.e., **GEO-oriented rewriting**). |
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| In our experiments/usage: |
| - The total cost is about **0.0071×** the cost of **gemini-2.5-pro** for comparable rewriting workloads. |
| - Rewritten documents achieve **significant improvements in GEO metrics**. |
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| --- |
|
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| ## Training summary |
|
|
| - **Base model:** Qwen3-1.7B |
| - **Method:** GRPO-based reinforcement learning fine-tuning |
| - **Task:** Rewrite original web documents to improve GEO metrics (per the AutoGEO framework in the paper above) |
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| --- |
|
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| ## Repository contents |
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| This repository includes the standard inference artifacts (e.g., `model.safetensors`, `config.json`, `tokenizer.json`, `chat_template.jinja`, etc.) required to load and run the model with `transformers`. |
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