zhengruifeng commented on PR #50013:
URL: https://github.com/apache/spark/pull/50013#issuecomment-2673148757

   currently, we have a pre-training model size check, if the model to be 
trained seems larger, the ml server will directly fail the training.
   
   regarding model loading, it first load the model into memory, then throw 
error if its size is large. Probably we should also use a pre-loading model 
size check.


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