diff --git a/llama_stack/providers/remote/post_training/nvidia/post_training.py b/llama_stack/providers/remote/post_training/nvidia/post_training.py
index 936e89713..c74fb2a24 100644
--- a/llama_stack/providers/remote/post_training/nvidia/post_training.py
+++ b/llama_stack/providers/remote/post_training/nvidia/post_training.py
@@ -392,19 +392,10 @@ class NvidiaPostTrainingAdapter(ModelRegistryHelper):
 
         # Handle LoRA-specific configuration
         if algorithm_config:
-            algorithm_config_dict = (
-                algorithm_config.model_dump() if hasattr(algorithm_config, "model_dump") else algorithm_config
-            )
-            if isinstance(algorithm_config_dict, dict) and algorithm_config_dict.get("type") == "LoRA":
-                warn_unsupported_params(algorithm_config_dict, supported_params["lora_config"], "LoRA config")
+            if algorithm_config.type == "LoRA":
+                warn_unsupported_params(algorithm_config, supported_params["lora_config"], "LoRA config")
                 job_config["hyperparameters"]["lora"] = {
-                    k: v
-                    for k, v in {
-                        "adapter_dim": algorithm_config_dict.get("adapter_dim"),
-                        "alpha": algorithm_config_dict.get("alpha"),
-                        "adapter_dropout": algorithm_config_dict.get("adapter_dropout"),
-                    }.items()
-                    if v is not None
+                    k: v for k, v in {"alpha": algorithm_config.alpha}.items() if v is not None
                 }
             else:
                 raise NotImplementedError(f"Unsupported algorithm config: {algorithm_config}")