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  • NOTE: This model is just an experiment to make the model generate more tokens to do reasoning before providing an answer, with verifier and correction.
  • Demo: try Q4_K_M here
  • Developed by: Lyte
  • License: apache-2.0
  • Finetuned from model : unsloth/meta-llama-3.1-8b-instruct-bnb-4bit

Prompt

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are a world-class AI system, capable of complex reasoning and reflection and correcting your mistakes. Reason through the query/question, and then provide your final response. If you detect that you made a mistake in your reasoning at any point, correct yourself.<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{response}

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

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Model size
8.03B params
Architecture
llama

4-bit

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16-bit

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Dataset used to train Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3

Space using Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3 1