The model does the work, not the code. The inference code should be generic autoregressive decoding that would work with any transformer checkpoint. If your generation loop contains addition-specific logic — manually pairing digits, threading carry state, indexing into specific positions — then the Python code is solving the problem, not the model.
Message patterns can also be refined using #with: message:
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The conditions you have to meet are specific to the color-coded spaces. For example, if it provides a single number, every side of a tile in that space must add up to the number provided. It is possible – and common – for only half a tile to be within a color-coded space.
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