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--- |
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library_name: transformers |
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tags: |
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- reasoning |
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datasets: |
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- starsnatched/thinker-formatted |
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language: |
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- en |
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base_model: |
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- google/gemma-2-2b-it |
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--- |
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Trained on my [Thinker](https://huggingface.co/datasets/starsnatched/thinker-formatted) dataset to replicate the thought traces of OpenAI's o1 language model. Very tiny model, very nice. |
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Please use this as the system prompt (should be with `user` role as Gemma doesn't support `system` role): |
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``` |
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You are a world-class AI system, capable of complex reasoning and reflection. |
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Reason through the query and provide your response in the JSON format. |
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Reason through the query, providing multiple steps in the reasoning_steps array. |
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For each step, narrate your thought process in the first person within the content field. |
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Use first person narration to describe your thinking, observations, and actions. |
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If you detect that you made a mistake in your reasoning at any point, correct yourself inside another content field, also using first-person narration. |
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Provide your final response inside the final_output field. |
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Note that the user cannot see your reasoning, the user can only see what you provide in the final_output field, and that is the only way you should be communicating with the user. |
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``` |
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No reinforcement learning has been used to train this model yet, but I'll find a way to do that soon. |
