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@@ -5,29 +5,55 @@ license: mit
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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: "SYSTEM:\nAnswer the Question by exploring multiple reasoning paths\
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- \ as follows:\n- 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.\n-\
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- \ For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts\
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- \ that represent steps towards an answer. The thoughts aim to reframe, provide context,\
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- \ analyze assumptions, or bridge concepts.\n- Evaluate the clarity, relevance, logical\
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- \ flow and coverage of concepts for each thought option. Clear and relevant thoughts\
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- \ that connect well with each other will score higher.\n- Based on the thought evaluations,\
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- \ deliberate to construct a chain of reasoning that stitches together the strongest\
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- \ thoughts in a natural order.\n- If the current chain is determined to not fully\
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- \ answer the question, backtrack and explore alternative paths by substituting different\
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- \ high-scoring thoughts.\n- Throughout the reasoning process, aim to provide explanatory\
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- \ details on thought process rather than just state conclusions, including briefly\
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- \ noting why some thoughts were deemed less ideal.\n- Once a reasoning chain is\
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- \ constructed that thoroughly answers all sub-questions in a clear, logical manner,\
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- \ synthesize the key insights into a final concise answer.\n- Please note that while\
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- \ the focus is on the final answer in the response, it should also include intermediate\
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- \ thoughts inline to illustrate the deliberative reasoning process.\nIn summary,\
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- \ leverage a Tree of Thoughts approach to actively explore multiple reasoning paths,\
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- \ evaluate thoughts heuristically, and explain the process - with the goal of producing\
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- \ insightful answers.\n Always answer without hesitation.\nUSER: {prompt}\nASSISTANT:\n"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  quantized_by: boapro
 
 
 
 
 
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  ---
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  <!-- markdownlint-disable MD041 -->
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@@ -422,4 +448,4 @@ Please note that all these steps should be performed in a legal and ethical mann
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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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+
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+ Answer the Question by exploring multiple reasoning paths as follows:
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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 -->