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The core idea is to freeze original pretrained weights and train a group of mini loras with only a small number of parameters. We demonstrate theoretically that melora ensures a higher rank without imposing an additional parameter overhead. 我们提出了 MELoRA，这是一种小型集成低秩适配器，它使用更少的可训练参数，同时保持较高的秩，从而提供更高的性能潜力。
We summarize our contributions as follows 论文介绍了一种新型方法MELoRA，通过训练小型低秩适配器以减少大型语言模型的可训练参数，同时保持较高秩，从而在自然语言理解和指令跟随任务中实现更好的性能。 We propose a new method ( melora ) on top of lora that makes it achieve a higher rank and better performance with fewer parameters
We theoretically demonstrate that melora maintains a higher and exible rank, as well as lower complexity, compared to lora.
针对LoRA存在的这一问题，我们提出了MELoRA，它使用了更少的可训练参数，同时保持了更高的秩，从而提供了更强的拟合能力。 MELoRA的核心思想就是冻结原始的预训练的权值，并训练一组mini LoRAs，不同的mini LoRA学习不同维度的特征，从而提高更好的泛化能力。 Buy latest gold, diamond & gemstone jewellery designs of ⭐rings ⭐earrings ⭐necklace ⭐chains ⭐bangles ⭐pendants & more at melorra.
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