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假设我有1个pretrain的模型、3个针对不同数据集sft的lora参数,请问我可以在加载模型后,根据场景需求,实时替换lora吗?如果可以这样实现的话,可以节省相当一部分机器资源。
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目前还不支持,以后可能会支持
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我记得在公众号里看到过一篇文章,一个lora算法,推理时先在base模型走一遍,然后再在lora上走一遍,这样就可以适配一个基础模型搭配不同lora业务场景。
楼主看一下slora这篇文章,可能对你有启发
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假设我有1个pretrain的模型、3个针对不同数据集sft的lora参数,请问我可以在加载模型后,根据场景需求,实时替换lora吗?如果可以这样实现的话,可以节省相当一部分机器资源。
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The text was updated successfully, but these errors were encountered: