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@@ -57,6 +57,8 @@ outputs = model.generate(
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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  🏋️ Training & Methodology
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  Our goal at AxionLab was to prioritize Depth of Thought over mere textual fluency.
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  Dataset: A curated mix of synthetic CoT datasets and manually pre-processed logical reasoning prompts.
 
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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+ ```
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+
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  🏋️ Training & Methodology
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  Our goal at AxionLab was to prioritize Depth of Thought over mere textual fluency.
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  Dataset: A curated mix of synthetic CoT datasets and manually pre-processed logical reasoning prompts.