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Finetuning LLMs with LoRA and QLoRA: Insights from Hundreds of Experiments

LoRA is one of the most widely used, parameter-efficient finetuning techniques for training custom LLMs. From saving memory with QLoRA to selecting the optimal LoRA settings, this article provides practical insights for those interested in applying it. ....

A Good Base Model , Low Rank Adaptation , With Low Rank Adaptation , Good Base , Rate Schedulers , Dataset Multiple , Tuning Part , Very Large , Gradient Accumulation , Normal Float ,

The Outside - 9/24/23

The Outside - 9/24/23
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