diff --git a/model-trainer-huggingface/src/test_utils.py b/model-trainer-huggingface/src/test_utils.py
index 74c4f3f..4881c16 100644
--- a/model-trainer-huggingface/src/test_utils.py
+++ b/model-trainer-huggingface/src/test_utils.py
@@ -4,7 +4,7 @@
 
 
 def test_parse_training_args_int_float():
-    params = {"num_train_epochs": "1"}
+    params = {"num_train_epochs": "1", "target_modules": "q,v"}
     assert parse_training_args(params).num_train_epochs == 1.0
 
     params = {"num_train_epochs": "1", "max_steps": "5"}
diff --git a/model-trainer-huggingface/src/train.ipynb b/model-trainer-huggingface/src/train.ipynb
index e157ad0..f6299c9 100644
--- a/model-trainer-huggingface/src/train.ipynb
+++ b/model-trainer-huggingface/src/train.ipynb
@@ -206,12 +206,13 @@
     "lora_config2 = LoraConfig(\n",
     " r=16,\n",
     " lora_alpha=32,\n",
-    " # target modules should be unset so it can detect target_modules automatically\n",
-    " # target_modules=[\"query_key_value\"],\n",
     " lora_dropout=0.05,\n",
     " bias=\"none\",\n",
     " task_type=\"CAUSAL_LM\"\n",
     ")\n",
+    "target_modules = params.get(\"target_modules\")\n",
+    "if target_modules:\n",
+    "    lora_config2.target_modules = [mod.strip() for mod in target_modules.split(\",\")]\n",
     "\n",
     "model = prepare_model_for_kbit_training(model)\n",
     "\n",