diff --git a/vllm/model_executor/models/mllama4.py b/vllm/model_executor/models/mllama4.py
index bf4bd309eea..843382392f1 100644
--- a/vllm/model_executor/models/mllama4.py
+++ b/vllm/model_executor/models/mllama4.py
@@ -41,6 +41,7 @@
 from vllm.model_executor.layers.rotary_embedding import get_rope
 from vllm.model_executor.model_loader.utils import initialize_model
 from vllm.model_executor.model_loader.weight_utils import default_weight_loader
+from vllm.model_executor.models.module_mapping import MultiModelKeys
 from vllm.model_executor.sampling_metadata import SamplingMetadata
 from vllm.multimodal import MULTIMODAL_REGISTRY
 from vllm.multimodal.inputs import (MultiModalDataDict, MultiModalFieldConfig,
@@ -54,7 +55,8 @@
 from vllm.multimodal.utils import run_dp_sharded_vision_model
 from vllm.sequence import IntermediateTensors
 
-from .interfaces import MultiModalEmbeddings, SupportsMultiModal, SupportsPP
+from .interfaces import (MultiModalEmbeddings, SupportsLoRA,
+                         SupportsMultiModal, SupportsPP)
 from .llama4 import Llama4ForCausalLM
 from .utils import (AutoWeightsLoader, flatten_bn, maybe_prefix,
                     merge_multimodal_embeddings)
@@ -711,8 +713,8 @@ def get_dummy_mm_data(
     info=Mllama4ProcessingInfo,
     dummy_inputs=Mllama4DummyInputsBuilder,
 )
-class Llama4ForConditionalGeneration(nn.Module, SupportsMultiModal,
-                                     SupportsPP):
+class Llama4ForConditionalGeneration(nn.Module, SupportsMultiModal, SupportsPP,
+                                     SupportsLoRA):
     packed_modules_mapping = {
         "qkv_proj": ["q_proj", "k_proj", "v_proj"],
     }
@@ -935,3 +937,13 @@ def load_weights(self, weights: Iterable[tuple[str,
                 weight_loader(param, loaded_weight)
                 updated_params.add(name)
         return updated_params
+
+    def get_mm_mapping(self) -> MultiModelKeys:
+        """
+        Get the module prefix in multimodal models
+        """
+        return MultiModelKeys.from_string_field(
+            language_model="language_model",
+            connector="multi_modal_projector.",
+            tower_model="vision_model.",
+        )