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Update README.md
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README.md
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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
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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:"
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