---
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_GEOBench

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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## What this model does

**AutoGEO_mini_Qwen1.7B_GEOBench** rewrites raw web documents into improved versions that are better aligned with generative search engines’ preferences for **GEO-Bench dataset**.

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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## 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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## Repository contents

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`.

---