laferraille / efficient-fine-tuning-techniques-for-deep-learning-models Goto Github PK
View Code? Open in Web Editor NEWThis repo aims to explore efficient fine-tuning techniques for deep learning models, focusing on reducing the computational and environmental costs associated with training large-scale models. We emphasize methods like Low-Rank Adaptation (LoRA), VeRA, and Quantization, which aim to enhance the fine-tuning process for foundational models.
License: MIT License