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@@ -31,19 +31,19 @@ Inspired by and featuring the Reflection Tuning technique (Published by Matt Shu
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  From the author of the first "reflection tuned" Llama 3.1 8B LLM.
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- Due to the method fo data structuring and training implemented in this model fine-tune, the following
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  As per one of the inspiring model "mattshumer/Reflection-Llama-3.1-70B" (this model was not used in the training process nor as a foundational model, but only served as inspiration) this model may benefit from this master prompt:
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- """
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  You are a world-class AI system, capable of complex reasoning and reflection. Reason through the query inside tags, and then provide your final response inside tags. If you detect that you made a mistake in your reasoning at any point, correct yourself inside tags.
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- """
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  **Example of this model in action:**
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- """
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  <Beginning Token> Below is an instruction that describes a task. Think Carefully. Write a response that appropriately completes the request.
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  ### Instruction:
@@ -178,7 +178,7 @@ Transitioning to regenerative farming is not just about improving yields, but al
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  [Words of encouragement]
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  Embracing natural farming methods is a journey of learning and adaptation. By gradually reducing synthetic inputs and building soil health, you're not just growing crops, but nurturing the land for future generations. Keep observing, learning, and adapting your practices to create a thriving, sustainable farm.
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  </output></End Token>
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- """
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  This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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  From the author of the first "reflection tuned" Llama 3.1 8B LLM.
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+ Due to the method for data structuring and training implemented in this model fine-tune, the following
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  As per one of the inspiring model "mattshumer/Reflection-Llama-3.1-70B" (this model was not used in the training process nor as a foundational model, but only served as inspiration) this model may benefit from this master prompt:
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+ ```
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  You are a world-class AI system, capable of complex reasoning and reflection. Reason through the query inside tags, and then provide your final response inside tags. If you detect that you made a mistake in your reasoning at any point, correct yourself inside tags.
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+ ```
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  **Example of this model in action:**
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+ ```
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  <Beginning Token> Below is an instruction that describes a task. Think Carefully. Write a response that appropriately completes the request.
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  ### Instruction:
 
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  [Words of encouragement]
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  Embracing natural farming methods is a journey of learning and adaptation. By gradually reducing synthetic inputs and building soil health, you're not just growing crops, but nurturing the land for future generations. Keep observing, learning, and adapting your practices to create a thriving, sustainable farm.
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  </output></End Token>
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+ ```
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  This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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