diff --git a/python/sglang/srt/models/deepseek_common/deepseek_weight_loader.py b/python/sglang/srt/models/deepseek_common/deepseek_weight_loader.py
index b6c830fea..c526df775 100644
--- a/python/sglang/srt/models/deepseek_common/deepseek_weight_loader.py
+++ b/python/sglang/srt/models/deepseek_common/deepseek_weight_loader.py
@@ -628,7 +628,10 @@ class DeepseekV2WeightLoaderMixin:
                         if hasattr(self_attn.kv_b_proj, "weight_scale")
                         else self_attn.kv_b_proj.weight_scale_inv
                     )
-                    if _is_fp8_fnuz:
+                    is_ue8m0_uint8 = (
+                        weight_scale.format_ue8m0 and weight_scale.dtype == torch.uint8
+                    )
+                    if _is_fp8_fnuz and not is_ue8m0_uint8:
                         weight, weight_scale, _ = normalize_e4m3fn_to_e4m3fnuz(
                             weight=w,
                             weight_scale=weight_scale,
@@ -638,7 +641,7 @@ class DeepseekV2WeightLoaderMixin:
                         weight = w
 
                     # In multiple weight loading scenarios (e.g. RL), we need to inverse the scale of the weights after the requantization happened at the first loading.
-                    if weight_scale.format_ue8m0 and weight_scale.dtype == torch.uint8:
+                    if is_ue8m0_uint8:
                         weight_scale = (weight_scale.to(torch.int32) << 23).view(
                             torch.float32
                         )