diff --git a/vllm/models/deepseek_v4/amd/model.py b/vllm/models/deepseek_v4/amd/model.py
index 885fffea868a..fb724fbe2f1e 100644
--- a/vllm/models/deepseek_v4/amd/model.py
+++ b/vllm/models/deepseek_v4/amd/model.py
@@ -30,7 +30,6 @@
     MHCPreOp,
 )
 from vllm.model_executor.layers.quantization import QuantizationConfig
-from vllm.model_executor.layers.rotary_embedding import get_rope
 from vllm.model_executor.layers.vocab_parallel_embedding import (
     ParallelLMHead,
     VocabParallelEmbedding,
@@ -50,6 +49,7 @@
     DeepseekV4Indexer,
     DeepseekV4MLA,
 )
+from vllm.models.deepseek_v4.common.rope import build_deepseek_v4_rope
 from vllm.platforms import current_platform
 from vllm.sequence import IntermediateTensors
 from vllm.utils.import_utils import has_tilelang
@@ -314,25 +314,12 @@ def __init__(
         self.rope_parameters = config.rope_scaling
 
         # Initialize rotary embedding BEFORE DeepseekV4MLA (which needs it)
-        rope_parameters = config.rope_parameters
-        rope_parameters["rope_theta"] = (
-            config.compress_rope_theta if self.compress_ratio > 1 else config.rope_theta
-        )
-        if config.rope_parameters["rope_type"] != "default":
-            config.rope_parameters["rope_type"] = (
-                "deepseek_yarn"
-                if config.rope_parameters.get("apply_yarn_scaling", True)
-                else "deepseek_llama_scaling"
-            )
-        rope_parameters["mscale"] = 0  # Disable mscale
-        rope_parameters["mscale_all_dim"] = 0  # Disable mscale
-        rope_parameters["is_deepseek_v4"] = True
-        rope_parameters["rope_dim"] = self.rope_head_dim
-        self.rotary_emb = get_rope(
-            self.head_dim,
-            max_position=self.max_position_embeddings,
-            rope_parameters=rope_parameters,
-            is_neox_style=False,
+        self.rotary_emb = build_deepseek_v4_rope(
+            config,
+            head_dim=self.head_dim,
+            rope_head_dim=self.rope_head_dim,
+            max_position_embeddings=self.max_position_embeddings,
+            compress_ratio=self.compress_ratio,
         )
 
         self.indexer = None
diff --git a/vllm/models/deepseek_v4/common/rope.py b/vllm/models/deepseek_v4/common/rope.py
new file mode 100644
index 000000000000..44ae3286eb21
--- /dev/null
+++ b/vllm/models/deepseek_v4/common/rope.py
@@ -0,0 +1,36 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+"""DeepseekV4 rotary embedding initialization."""
+
+from vllm.model_executor.layers.rotary_embedding import get_rope
+from vllm.model_executor.layers.rotary_embedding.base import RotaryEmbedding
+
+
+def build_deepseek_v4_rope(
+    config,
+    *,
+    head_dim: int,
+    rope_head_dim: int,
+    max_position_embeddings: int,
+    compress_ratio: int,
+) -> RotaryEmbedding:
+    rope_parameters = config.rope_parameters
+    rope_parameters["rope_theta"] = (
+        config.compress_rope_theta if compress_ratio > 1 else config.rope_theta
+    )
+    if rope_parameters["rope_type"] != "default":
+        rope_parameters["rope_type"] = (
+            "deepseek_yarn"
+            if rope_parameters.get("apply_yarn_scaling", True)
+            else "deepseek_llama_scaling"
+        )
+    rope_parameters["mscale"] = 0  # Disable mscale
+    rope_parameters["mscale_all_dim"] = 0  # Disable mscale
+    rope_parameters["is_deepseek_v4"] = True
+    rope_parameters["rope_dim"] = rope_head_dim
+    return get_rope(
+        head_dim,
+        max_position=max_position_embeddings,
+        rope_parameters=rope_parameters,
+        is_neox_style=False,
+    )
diff --git a/vllm/models/deepseek_v4/nvidia/model.py b/vllm/models/deepseek_v4/nvidia/model.py
index e26d9e593bec..13e58360c8b2 100644
--- a/vllm/models/deepseek_v4/nvidia/model.py
+++ b/vllm/models/deepseek_v4/nvidia/model.py
@@ -35,7 +35,6 @@
 )
 from vllm.model_executor.layers.logits_processor import LogitsProcessor
 from vllm.model_executor.layers.quantization import QuantizationConfig
-from vllm.model_executor.layers.rotary_embedding import get_rope
 from vllm.model_executor.layers.vocab_parallel_embedding import (
     ParallelLMHead,
     VocabParallelEmbedding,
@@ -56,6 +55,7 @@
     DeepseekV4Indexer,
     DeepseekV4MLA,
 )
+from vllm.models.deepseek_v4.common.rope import build_deepseek_v4_rope
 from vllm.models.deepseek_v4.nvidia.ops.prepare_megamoe import prepare_megamoe_inputs
 from vllm.sequence import IntermediateTensors
 
@@ -697,25 +697,12 @@ def __init__(
         self.rope_parameters = config.rope_scaling
 
         # Initialize rotary embedding BEFORE DeepseekV4MLA (which needs it)
-        rope_parameters = config.rope_parameters
-        rope_parameters["rope_theta"] = (
-            config.compress_rope_theta if self.compress_ratio > 1 else config.rope_theta
-        )
-        if config.rope_parameters["rope_type"] != "default":
-            config.rope_parameters["rope_type"] = (
-                "deepseek_yarn"
-                if config.rope_parameters.get("apply_yarn_scaling", True)
-                else "deepseek_llama_scaling"
-            )
-        rope_parameters["mscale"] = 0  # Disable mscale
-        rope_parameters["mscale_all_dim"] = 0  # Disable mscale
-        rope_parameters["is_deepseek_v4"] = True
-        rope_parameters["rope_dim"] = self.rope_head_dim
-        self.rotary_emb = get_rope(
-            self.head_dim,
-            max_position=self.max_position_embeddings,
-            rope_parameters=rope_parameters,
-            is_neox_style=False,
+        self.rotary_emb = build_deepseek_v4_rope(
+            config,
+            head_dim=self.head_dim,
+            rope_head_dim=self.rope_head_dim,
+            max_position_embeddings=self.max_position_embeddings,
+            compress_ratio=self.compress_ratio,
         )
 
         self.indexer = None