LLaMA-7B

该数据集是一组用于评估大型语言模型在常识推理任务上的表现的数据。它被广泛应用于与LoRA和DoRA的不同比较中，以评估微调性能。该数据集包含的参数量达到了70亿，其专注于常识推理的任务领域。This dataset is utilized for evaluating the performance of large language models (LLMs) in common sense reasoning tasks. It has been widely adopted in comparative analyses against LoRA and DoRA to assess fine-tuning performance. This dataset has a parameter scale of 7 billion and focuses on the domain of common sense reasoning tasks.