QLoRA applies to various language models, including RoBERTa, DeBERTa, GPT-2, and GPT-3, providing parameter-efficient fine-tuning options for different architectures. As the field of NLP continues to evolve. The parameter-efficient fine-tuning techniques like LORA and QLORA pave the way for more accessible and practical deployment of LLMs across diverse applications.