持续飙升的内存价格正对全球智能手机市场形成实质性冲击。高盛最新研究报告指出，在存储元件成本进入上涨周期后，价格敏感型消费者将率先退出市场，因此将2026年全球智能手机出货量预期一次性下调6%至11.9亿台，这意味着市场不仅未能成长，反而将年减6%。[1]
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.
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