save sif_model.sv.vectors.npy file is very large?

[RyanHuangNLP]

I found my sif_model.sv.vectors.npy file is just (758194, 100) matrix, but that file is 15G, while I save a (800000, 100) matrix to npy file, it just 600mb, so is it normal? I train the sif model on 30 million sentences

-rw-r--r-- 1 ke ke  43M oct 11 19:09 sif_model
-rw-r--r-- 1 ke ke  15G oct 11 19:09 sif_model.sv.vectors.npy  <<----- this file very large
-rw-r--r-- 1 ke ke 290M oct 11 19:07 sif_model.wv.vectors.npy

[oborchers]

Hi! If you train the model on 30 million sentences you should end up with an array of size (30*10^6, 100).

The formula to determine the approx size of the array is:
sentences * vector_size * np.dtype(np.float32).itemsize

For your purpose that'd be equal to:
30e6*100*np.dtype(np.float32).itemsize / 1024**3
which is about 12G. Thus 15 is a bit higher than expected