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  # Uploaded model
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  - **Developed by:** EpistemeAI
 
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+ This fine tune model is inspired by Nathan Lambert's talk "Traits of Next Generation Reasoning Models".
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+ It introduces a structured multi-phase reasoning cycle for large language models (LLMs).
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+ The fine tune model extends beyond simple question-answer pairs by adding explicit reasoning phases:
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+ Planning – The model outlines a step-by-step plan before attempting a solution.
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+ Answering – The model provides its initial solution.
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+ Double-Checking – The model revisits its answer, verifying correctness and coherence.
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+ Confidence – The model assigns a confidence score or justification for its final response.
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+ This structure encourages models to reason more transparently, self-correct, and calibrate their confidence.
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  # Uploaded model
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  - **Developed by:** EpistemeAI