LLaMA 2: A Detailed Guide to Fine-Tuning the Large Language Model by Gobi Shangar
Fine Tune Large Language Model LLM on a Custom Dataset with QLoRA Medium LoRA reduces the computational burden by updating only a low-rank approximation of the parameters, significantly lowering memory and processing requirements. Quantised LoRA further optimises resource usage by applying quantisation to these low-rank matrices, maintaining high model performance while minimising the need for …
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