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@@ -29,7 +29,7 @@ Like its predecessor, Tiny-Pirate-1.1b-v0.2 is ideally suited for applications r
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  To ensure rich, diverse, and high-quality inputs for fine-tuning, TinyPiratev0.2 was trained on the same carefully curated pirate-themed dataset used for the development of PirateTalk 8b. This dataset encompasses a wide range of pirate-related content, including historical accounts, literary works, film and television scripts, and more. By exposing the model to such a comprehensive and varied corpus, TinyPiratev0.2 has developed a deep understanding of pirate language, culture, and themes, enabling it to generate content that is both authentic and engaging.
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  ### Custom Stopping Strings
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- To enhance output quality and maintain better control over the model's behavior, especially in extreme or edge cases, a set of custom stopping strings were employed during the fine-tuning process:
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  - "}\\n\\n\\n{"
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  - "\\user:"
 
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  To ensure rich, diverse, and high-quality inputs for fine-tuning, TinyPiratev0.2 was trained on the same carefully curated pirate-themed dataset used for the development of PirateTalk 8b. This dataset encompasses a wide range of pirate-related content, including historical accounts, literary works, film and television scripts, and more. By exposing the model to such a comprehensive and varied corpus, TinyPiratev0.2 has developed a deep understanding of pirate language, culture, and themes, enabling it to generate content that is both authentic and engaging.
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  ### Custom Stopping Strings
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+ To enhance output quality and maintain better control over the model's behavior, especially in extreme or edge cases, a set of custom stopping strings should be employed:
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  - "}\\n\\n\\n{"
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  - "\\user:"