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parakeet_mlx.from_pretrained loads with dtype=mx.bfloat16 by default, so the
published float32 weights are narrowed to bfloat16 the moment they are read.
Storing them that way makes the download 2.47 GB → 1.24 GB
with no effect on output: every tensor here is bit-identical to what the float32
repo becomes once loaded.1from parakeet_mlx import from_pretrained
2model = from_pretrained("Reesthebeast/parakeet-tdt-0.6b-v2-bf16")