diff --git a/encoding/models/nested_cv.py b/encoding/models/nested_cv.py
index bc2336e..afa0d97 100644
--- a/encoding/models/nested_cv.py
+++ b/encoding/models/nested_cv.py
@@ -81,7 +81,14 @@ def fit_predict(
             alphas = np.logspace(-1, 8, 10)
 
         # Determine device - use GPU if available and requested
-        device = "cuda" if use_gpu and torch.cuda.is_available() else "cpu"
+
+        if use_gpu:
+            if torch.backends.mps.is_available():
+                device = "mps:0"
+            elif torch.cuda.is_available():
+                device = "cuda"
+        else:
+             device = "cpu"
         logger.info(f"Using device: {device}")
         logger.info(f"Folding type: {folding_type}")
 
@@ -397,7 +404,7 @@ def _find_best_alphas(
         # Find the best alpha for each voxel
         best_alpha_idx = torch.argmax(mean_inner_corrs, dim=0)  # Shape: (n_voxels,)
         best_valphas = torch.tensor(
-            [alphas[i] for i in best_alpha_idx], device=X_train.device
+            [alphas[i] for i in best_alpha_idx], device=X_train.device, dtype=torch.float32
         )
         if logger:
             logger.info("Found best alphas for each voxel")