diff --git a/src/transformers/models/deepseek_v3/modeling_deepseek_v3.py b/src/transformers/models/deepseek_v3/modeling_deepseek_v3.py
index 75cf1077567b..d6a27b41c15d 100644
--- a/src/transformers/models/deepseek_v3/modeling_deepseek_v3.py
+++ b/src/transformers/models/deepseek_v3/modeling_deepseek_v3.py
@@ -497,8 +497,7 @@ class DeepseekV3PreTrainedModel(PreTrainedModel):
     _supports_flash_attn = True
     _supports_sdpa = True
     _supports_flex_attn = True
-
-    _can_compile_fullgraph = True
+    _can_compile_fullgraph = False
     _supports_attention_backend = True
     _can_record_outputs = {
         "hidden_states": DeepseekV3DecoderLayer,
diff --git a/src/transformers/models/deepseek_v3/modular_deepseek_v3.py b/src/transformers/models/deepseek_v3/modular_deepseek_v3.py
index ebcd3aed398c..ef6faf4f2292 100644
--- a/src/transformers/models/deepseek_v3/modular_deepseek_v3.py
+++ b/src/transformers/models/deepseek_v3/modular_deepseek_v3.py
@@ -338,6 +338,8 @@ def __init__(self, config: DeepseekV3Config, layer_idx: int):
 
 
 class DeepseekV3PreTrainedModel(LlamaPreTrainedModel):
+    _can_compile_fullgraph = False
+
     def _init_weights(self, module):
         LlamaPreTrainedModel._init_weights(module)
         if isinstance(module, DeepseekV3TopkRouter):
diff --git a/src/transformers/models/dots1/modeling_dots1.py b/src/transformers/models/dots1/modeling_dots1.py
index 26fdc9f76ce4..476f8b1bffc4 100644
--- a/src/transformers/models/dots1/modeling_dots1.py
+++ b/src/transformers/models/dots1/modeling_dots1.py
@@ -417,8 +417,7 @@ class Dots1PreTrainedModel(PreTrainedModel):
     _supports_flash_attn = True
     _supports_sdpa = True
     _supports_flex_attn = True
-
-    _can_compile_fullgraph = True
+    _can_compile_fullgraph = False
     _supports_attention_backend = True
     _can_record_outputs = {
         "hidden_states": Dots1DecoderLayer,