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@@ -28,7 +28,7 @@ DARE Linear was chosen as the merge method based on [this HF discussion](https:/
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  The model responds well to general-purpose prompt formats such as Alpaca. Alternatively, I suggest trying the following format, replacing `{the placeholder text}` with your actual messages, without curly brackets.
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  ```
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- <message from='system'>{your system prompt here}</message><message from='user'>{user prompt here}</message><message from='bot'>{bot response here}</message><message from='user'>{user prompt here}</message><message from='bot'>{bot response here}</message> [... and so on ...]
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  ```
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  This format is readily understood by the model, and leads to the expected high-quality responses. Note the lack of newlines `\n` - they are not necessary and might actually make it harder for the model to follow along.
 
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  The model responds well to general-purpose prompt formats such as Alpaca. Alternatively, I suggest trying the following format, replacing `{the placeholder text}` with your actual messages, without curly brackets.
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  ```
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+ <message from="system">{your system prompt here}</message><message from="user">{user prompt here}</message><message from="bot">{bot response here}</message><message from="user">{user prompt here}</message><message from="bot">{bot response here}</message> [... and so on ...]
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  ```
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  This format is readily understood by the model, and leads to the expected high-quality responses. Note the lack of newlines `\n` - they are not necessary and might actually make it harder for the model to follow along.