LoRA-DoRA-QLoRA-PyTorch-Efficient-Fine-Tuning-with-Low-Rank-Adaptation
PublicThis repository contains a PyTorch implementation of a Convolutional Neural Network (CNN) for classifying the MNIST dataset. The project explores different fine-tuning techniques, including LoRA (Low-Rank Adaptation), DoRA (Dynamic Low-Rank Adaptation), and QLoRA (Quantized Low-Rank Adaptation), to improve model performance and efficiency.
Creat：2025-03-10T17:39:54
Update：2025-03-10T22:21:50
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