diff --git a/packages/common/src/weathergen/common/config.py b/packages/common/src/weathergen/common/config.py
index 794f829c6..1a57725db 100644
--- a/packages/common/src/weathergen/common/config.py
+++ b/packages/common/src/weathergen/common/config.py
@@ -231,8 +231,10 @@ def load_run_config(run_id: str, mini_epoch: int | None, model_path: str | None)
         # Load model config here. In case model_path is not provided, get it from private conf
         if model_path is None:
             path = get_path_model(run_id=run_id)
+            _logger.info(f"Loading config from default model_path: {path}")
         else:
             path = Path(model_path) / run_id
+            _logger.info(f"Loading config from provided model_path: {path}")
 
         fname = path / _get_model_config_file_read_name(run_id, mini_epoch)
         assert fname.exists(), (
diff --git a/src/weathergen/model/model_interface.py b/src/weathergen/model/model_interface.py
index 24962da13..4a0339984 100644
--- a/src/weathergen/model/model_interface.py
+++ b/src/weathergen/model/model_interface.py
@@ -11,7 +11,6 @@
 
 import itertools
 import logging
-from pathlib import Path
 
 import omegaconf
 import torch
@@ -21,7 +20,7 @@
 )
 from torch.distributed.tensor import distribute_tensor
 
-from weathergen.common.config import Config, merge_configs
+from weathergen.common.config import Config, get_path_model, merge_configs
 from weathergen.model.attention import (
     MultiCrossAttentionHeadVarlen,
     MultiCrossAttentionHeadVarlenSlicedQ,
@@ -179,7 +178,7 @@ def load_model(cf, model, device, run_id: str, mini_epoch=-1):
         mini_epoch : The mini_epoch to load. Default (-1) is the latest mini_epoch
     """
 
-    path_run = Path(cf.model_path) / run_id
+    path_run = get_path_model(run_id=run_id)
     mini_epoch_id = (
         f"chkpt{mini_epoch:05d}" if mini_epoch != -1 and mini_epoch is not None else "latest"
     )