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cmnfriend avatar cmnfriend commented on August 9, 2024 1

应该的确是一种简化的方案，感谢你的提议！

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Youngluc avatar Youngluc commented on August 9, 2024 1

推理的时候可以add，但是训练的时候当前的loranew参数要与过去每一个任务对应的lora参数求正交损失，所以应该不能把这些lora参数给混合起来。 不过我们也没有做实验验证loranew对add之后的lora参数求正交，对减少过去所有任务遗忘的效果。

感觉理论上，concat和add是等价的，因为add后的那些矩阵本质上也是∑AB，做正交loss的话计算方式上是一样的，就是forward感觉可能不太一样了。concat的话rank会增长，add的话rank不会增长？

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