UMAP trained model consumes too much space

[miroslavtushev]

Is there a way to reduce the space that a trained model takes? My trained model takes around 8 GB (~800k examples). I noticed that each model contains the embeddings of the train set, so its size is going to be proportional to the train set size. I'm not sure what else the model stores that explodes the size like that. Is it possible to not save those embeddings?