chunk_content: eps the number of trainable parameters much smaller. 
  Being similar to LoRA, IA3 carries many of the same advantages: 
  IA3 makes fine-tuning more efficient by drastically reducing the number of trainable parameters. (For T0, an IA3 model only has about 0.01% trainable parameters, while even LoRA has > 0.1%)
  The original pre-trained weights are kept frozen, which means you can have multiple lightweight and portable IA3 models for various downstr