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.
打个比方，LLM像是“未出山前的诸葛亮”，善于分析，以“隆中对”和刘备对谈，出谋划策，但限于“纸上谈兵”；智能体则是“出山后的诸葛亮”，掌握全局情报，运筹帷幄，组织资源、调兵遣将，亲自率军北伐。
，详情可参考旺商聊官方下载
Increasing demand，这一点在im钱包官方下载中也有详细论述
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