diff --git a/plugins/accelerated-moe/src/fms_acceleration_moe/framework_plugin_scattermoe.py b/plugins/accelerated-moe/src/fms_acceleration_moe/framework_plugin_scattermoe.py
index 123f99cb..2c715280 100644
--- a/plugins/accelerated-moe/src/fms_acceleration_moe/framework_plugin_scattermoe.py
+++ b/plugins/accelerated-moe/src/fms_acceleration_moe/framework_plugin_scattermoe.py
@@ -16,8 +16,10 @@
 from typing import Dict, Tuple
 
 # Third Party
+from accelerate.logging import get_logger
 from fms_acceleration import AccelerationPlugin
 from peft import LoraConfig
+from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType
 from transformers import TrainingArguments
 import torch
 
@@ -28,6 +30,8 @@
     prepare_scattermoe,
 )
 
+logger = get_logger(__name__)
+
 
 # pylint: disable=too-many-instance-attributes
 class ScatterMoEAccelerationPlugin(AccelerationPlugin):
@@ -124,6 +128,18 @@ def get_callbacks_and_ready_for_train(
                     if layer.__class__.__name__ in _layers
                 ]
 
+                if (
+                    accelerator.state.fsdp_plugin.state_dict_type
+                    != StateDictType.SHARDED_STATE_DICT
+                ):
+                    accelerator.state.fsdp_plugin.state_dict_type = (
+                        StateDictType.SHARDED_STATE_DICT
+                    )
+                    logger.warning(
+                        "Overriding FSDP plugin state_dict_type to"
+                        f"{StateDictType.SHARDED_STATE_DICT},"
+                        "since the plugin does not support {StateDictType.FULL_STATE_DICT}"
+                    )
                 # call this to patch the HF save and load functions to be able
                 # to save DTensors propery
                 patch_huggingface_save_and_load_for_dtensors()