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Standard forward pass. The model's forward() method must be a standard tensor-in, logits-out computation. No problem-specific control flow (for-loops over digits, explicit carry variables, string manipulation) inside forward(). The autoregressive generation loop lives outside the model, exactly as it would for any language model.

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GBDT (tree-boosting algorithm): 1.1x-1.5x faster fit/predict than the treeboost Rust crate2, 24-42x faster fit/1-5x faster predict than Python’s xgboost

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