What I understood is that a

model is the result of a training algorithm.

Set of parameters learned by the training algorithm is model
Since a model is already a trained one,then why do we say “Pretrained models” .
If there are any misconception,please correct me.
If my understanding is wrong, please explain the difference between a model and algorithm.