ProLLaMA introduces a novel training framework that transforms general LLMs into multi-task Protein LLMs capable of understanding both protein sequences and natural language instructions, using continual learning and instruction tuning with LoRA to enhance scalability and reduce costs. It demonstrates state-of-the-art performance in unconditional protein generation, successfully generates proteins with desired functionalities based on instructions, and achieves high accuracy in protein property prediction.