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### Model Description
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This model is a fine-tuned version of Qwen2.5-1.5B-Instruct that has been optimized using Direct Preference Optimization (DPO) to evade the [EXP watermarking method](https://www.scottaaronson.com/talks/watermark.ppt). The model preserves text quality while modifying the statistical patterns that watermarking methods rely on for detection.
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- **Model type:** Decoder-only transformer language model
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- **Language(s):** English
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### Model Description
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This model is a fine-tuned version of Qwen2.5-1.5B-Instruct that has been optimized using Direct Preference Optimization (DPO) to evade the [EXP watermarking method](https://www.scottaaronson.com/talks/watermark.ppt) described in Aaronson and Kirchner (2023). The model preserves text quality while modifying the statistical patterns that watermarking methods rely on for detection.
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- **Model type:** Decoder-only transformer language model
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- **Language(s):** English
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