diff --git a/python/sglang/multimodal_gen/runtime/loader/fsdp_load.py b/python/sglang/multimodal_gen/runtime/loader/fsdp_load.py
index 2b2630fb1..dcfbb6eac 100644
--- a/python/sglang/multimodal_gen/runtime/loader/fsdp_load.py
+++ b/python/sglang/multimodal_gen/runtime/loader/fsdp_load.py
@@ -22,6 +22,7 @@ from torch.distributed.fsdp import (
 )
 from torch.nn.modules.module import _IncompatibleKeys
 
+from sglang.multimodal_gen.runtime.layers.linear import UnquantizedLinearMethod
 from sglang.multimodal_gen.runtime.loader.utils import (
     get_param_names_mapping,
     hf_to_custom_state_dict,
@@ -145,7 +146,7 @@ def maybe_load_fsdp_model(
         if quant_method is not None and hasattr(
             quant_method, "process_weights_after_loading"
         ):
-            if _is_npu:
+            if _is_npu and not isinstance(quant_method, UnquantizedLinearMethod):
                 # Activate the NZ format for storing weights,
                 # which is a specific optimization for Ascend NPU
                 torch.npu.config.allow_internal_format = True
diff --git a/python/sglang/srt/hardware_backend/npu/utils.py b/python/sglang/srt/hardware_backend/npu/utils.py
index 816370111..a78de6130 100644
--- a/python/sglang/srt/hardware_backend/npu/utils.py
+++ b/python/sglang/srt/hardware_backend/npu/utils.py
@@ -124,7 +124,12 @@ def npu_format_cast(
         return tensor
 
     if tensor.device == torch.device("cpu"):
-        return torch.ops.npu.npu_format_cast(tensor.npu(), acl_format.value).cpu()
+        logger.warning_once(
+            "Warning: The conversion from 'ND' to 'NZ' does not work on the CPU. "
+            "Please disable offloading, otherwise the performance will be "
+            "significantly reduced."
+        )
+        return tensor
     else:
         return torch.ops.npu.npu_format_cast(tensor, acl_format.value)