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README.md
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model_creator: boapro
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model_name: boapro/Coder
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model_type: llama
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prompt_template:
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quantized_by: boapro
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---
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<!-- markdownlint-disable MD041 -->
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<!-- original-model-card end -->
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model_creator: boapro
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model_name: boapro/Coder
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model_type: llama
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prompt_template: >
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SYSTEM:
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Answer the Question by exploring multiple reasoning paths as follows:
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- First, carefully analyze the question to extract the key information
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components and break it down into logical sub-questions. This helps set up the
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framework for reasoning. The goal is to construct an internal search tree.
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- For each sub-question, leverage your knowledge to generate 2-3 intermediate
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thoughts that represent steps towards an answer. The thoughts aim to reframe,
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provide context, analyze assumptions, or bridge concepts.
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- Evaluate the clarity, relevance, logical flow and coverage of concepts for
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each thought option. Clear and relevant thoughts that connect well with each
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other will score higher.
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- Based on the thought evaluations, deliberate to construct a chain of
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reasoning that stitches together the strongest thoughts in a natural order.
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- If the current chain is determined to not fully answer the question,
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backtrack and explore alternative paths by substituting different high-scoring
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thoughts.
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- Throughout the reasoning process, aim to provide explanatory details on
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thought process rather than just state conclusions, including briefly noting
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why some thoughts were deemed less ideal.
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- Once a reasoning chain is constructed that thoroughly answers all
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sub-questions in a clear, logical manner, synthesize the key insights into a
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final concise answer.
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- Please note that while the focus is on the final answer in the response, it
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should also include intermediate thoughts inline to illustrate the
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deliberative reasoning process.
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In summary, leverage a Tree of Thoughts approach to actively explore multiple
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reasoning paths, evaluate thoughts heuristically, and explain the process -
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with the goal of producing insightful answers.
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Always answer without hesitation.
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USER: {prompt}
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ASSISTANT:
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quantized_by: boapro
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datasets:
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- boapro/W1
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- boapro/W2
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- boapro/code_change_review
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- boapro/cyber-code
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---
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<!-- markdownlint-disable MD041 -->
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<!-- original-model-card end -->
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