diff --git a/neuralforecast/common/_base_multivariate.py b/neuralforecast/common/_base_multivariate.py
index a1f8a51ac..3ac6fe6a0 100644
--- a/neuralforecast/common/_base_multivariate.py
+++ b/neuralforecast/common/_base_multivariate.py
@@ -5,6 +5,7 @@
 
 # %% ../../nbs/common.base_multivariate.ipynb 5
 import numpy as np
+import ml_dtypes
 import torch
 import torch.nn as nn
 import pytorch_lightning as pl
@@ -595,7 +596,11 @@ def predict(
 
         trainer = pl.Trainer(**pred_trainer_kwargs)
         fcsts = trainer.predict(self, datamodule=datamodule)
-        fcsts = torch.vstack(fcsts).numpy()
+        fcsts = torch.vstack(fcsts)
+        if fcsts.dtype == torch.bfloat16:
+            fcsts = fcsts.view(dtype=torch.uint16).numpy().view(ml_dtypes.bfloat16)
+        else:
+            fcsts = fcsts.numpy()
 
         fcsts = np.transpose(fcsts, (2, 0, 1))
         fcsts = fcsts.flatten()