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@@ -15,7 +15,7 @@ This model is an adaptively fine-tuned version of Qwen2.5-1.5B-Instruct optimize
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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