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Model Details
Model Description
- The model was trained on a mixture of 2,100 examples, most of which were manually gathered and verified.
- Thanks to a brief yet high - quality SFT dataset, the model will think much shorter than the QWQ and R1 models.
- System messages to trigger think tags (which should be placed under "<start_of_turn>user"):
- "You are an expert assistant. Think using <think> tags."
- "You are a thinking assistant."
Example:
<start_of_turn>user
You are a thinking assistant.
(1,234)² means 1,234 * 1,234; (1,234)³ means 1,234 * 1,234 * 1,234; and so forth. When (1,234)²³ is completely multiplied out, what will the number be in the ones place?
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Training Details
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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