Weka Random Forest model file size is too big - serialization

Question

I'm using Random Forest in Weka 3.9 GUI. My dataset cotains 211965 instances with 95 attributes. I'm classifing a numerical value.
When I save the model it's size is 1 951 834 KB and it's way too big to load it in my Java application using Weka API.
Am I doing something wrong that causes the file to be that big?
Here is a classifier output from Weka so you can see the paramaters that I have used (I removed attributes list from it to make it shorter).
=== Run information ===
Scheme weka.classifiers.trees.RandomForest -P 100 -I 30 -num-slots 0 -K 0 -M 1.0 -V 0.001 -S 1 -depth 21
Relation all_cars_wo_cena300k3
Instances 211965
Attributes 95
Test mode evaluate on training data
=== Classifier model (full training set) ===
RandomForest
Bagging with 30 iterations and base learner
weka.classifiers.trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 -depth 21 -do-not-check-capabilities
Time taken to build model 15.02 seconds
=== Evaluation on training set ===
Time taken to test model on training data 6.36 seconds
=== Summary ===
Correlation coefficient 0.9978
Mean absolute error 1532.7018
Root mean squared error 3087.1285
Relative absolute error 5.1246 %
Root relative squared error 6.9288 %
Total Number of Instances 211965