diff --git a/src/llamafactory/model/model_utils/visual.py b/src/llamafactory/model/model_utils/visual.py
index 4204c6a4..65926197 100644
--- a/src/llamafactory/model/model_utils/visual.py
+++ b/src/llamafactory/model/model_utils/visual.py
@@ -92,7 +92,7 @@ def autocast_projector_dtype(model: "PreTrainedModel", model_args: "ModelArgumen
 
     if getattr(model, "quantization_method", None):
         model_type = getattr(model.config, "model_type", None)
-        if model_type in ["llava", "llava_next", "llava_next_video", "paligemma", "pixtral", "video_llava"]:
+        if model_type in ["llava", "llava_next", "llava_next_video", "mllama", "paligemma", "video_llava"]:
             mm_projector: "torch.nn.Module" = getattr(model, "multi_modal_projector")
         elif model_type == "qwen2_vl":
             mm_projector: "torch.nn.Module" = getattr(getattr(model, "visual"), "merger")
@@ -108,15 +108,8 @@ def configure_visual_model(config: "PretrainedConfig") -> None:
     Patches VLMs before loading them.
     """
     model_type = getattr(config, "model_type", None)
-    if model_type in [
-        "llava",
-        "llava_next",
-        "llava_next_video",
-        "mllama",
-        "paligemma",
-        "pixtral",
-        "video_llava",
-    ]:  # required for ds zero3 and valuehead models
+    if model_type in ["llava", "llava_next", "llava_next_video", "mllama", "paligemma", "video_llava"]:
+        # required for ds zero3 and valuehead models
         setattr(config, "hidden_size", getattr(config.text_config, "hidden_size", None))
 
     if getattr(config, "is_yi_vl_derived_model", None):
@@ -130,13 +123,20 @@ def get_forbidden_modules(config: "PretrainedConfig", finetuning_args: "Finetuni
     """
     model_type = getattr(config, "model_type", None)
     forbidden_modules = set()
-    if model_type in ["llava", "llava_next", "llava_next_video", "paligemma", "pixtral", "video_llava"]:
+    if model_type in ["llava", "llava_next", "llava_next_video", "paligemma", "video_llava"]:
         if finetuning_args.freeze_vision_tower:
             forbidden_modules.add("vision_tower")
 
         if finetuning_args.train_mm_proj_only:
             forbidden_modules.add("language_model")
 
+    elif model_type == "mllama":
+        if finetuning_args.freeze_vision_tower:
+            forbidden_modules.add("vision_model")
+
+        if finetuning_args.train_mm_proj_only:
+            forbidden_modules.add("language_model")
+
     elif model_type == "qwen2_vl":
         if finetuning_args.freeze_vision_tower:
             forbidden_modules.add("visual")
@@ -189,8 +189,9 @@ def patch_target_modules(
     Freezes vision tower for VLM LoRA tuning.
     """
     model_type = getattr(config, "model_type", None)
+    vit_model_type = getattr(getattr(config, "vision_config", None), "model_type", None)
     if finetuning_args.freeze_vision_tower:
-        if model_type in ["llava", "llava_next", "llava_next_video", "paligemma", "pixtral", "video_llava"]:
+        if model_type in ["llava", "llava_next", "llava_next_video", "paligemma", "video_llava"]:
             return "^(?!.*vision_tower).*(?:{}).*".format("|".join(target_modules))
         elif model_type == "mllama":
             return "^(?!.*vision_model).*(?:{}).*".format("|".join(target_modules))
@@ -201,7 +202,7 @@ def patch_target_modules(
     else:
         if model_type == "qwen2_vl":
             return "^(?!.*patch_embed).*(?:{}).*".format("|".join(target_modules))
-        elif model_type == "pixtral":
+        elif vit_model_type == "pixtral":
             return "^(?!.*patch_conv).*(?:{}).*".format("|".join(target_modules))
         else:
             return target_modules