chunk_content: l pre-trained weights are kept frozen, which means you can have multiple lightweight and portable IA3 models for various downstream tasks built on top of them.
  Performance of models fine-tuned using IA3 is comparable to the performance of fully fine-tuned models.
  IA3 does not add any inference latency because adapter weights can be merged with the base model.
  In principle, IA3 can be applied to any subset of weight matrices in a neural network 