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### Model Description
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This model is a fine-tuned version of Qwen2.5-0.5B-Instruct that has been optimized using Direct Preference Optimization (DPO) to evade the EXP watermarking method 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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### Model Description
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This model is a fine-tuned version of Qwen2.5-0.5B-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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