diff --git a/src/llamafactory/api/chat.py b/src/llamafactory/api/chat.py
index 8228d588..304c8cdc 100644
--- a/src/llamafactory/api/chat.py
+++ b/src/llamafactory/api/chat.py
@@ -186,7 +186,6 @@ async def create_chat_completion_response(
 ) -> "ChatCompletionResponse":
     completion_id = f"chatcmpl-{uuid.uuid4().hex}"
     input_messages, system, tools, images, videos, audios = _process_request(request)
-    repetition_penalty = request.presence_penalty if request.presence_penalty else request.repetition_penalty
     responses = await chat_model.achat(
         input_messages,
         system,
@@ -199,8 +198,8 @@ async def create_chat_completion_response(
         top_p=request.top_p,
         max_new_tokens=request.max_tokens,
         num_return_sequences=request.n,
+        repetition_penalty=request.presence_penalty,
         stop=request.stop,
-        repetition_penalty=repetition_penalty,
     )
 
     prompt_length, response_length = 0, 0
@@ -250,7 +249,6 @@ async def create_stream_chat_completion_response(
     yield _create_stream_chat_completion_chunk(
         completion_id=completion_id, model=request.model, delta=ChatCompletionMessage(role=Role.ASSISTANT, content="")
     )
-    repetition_penalty = request.presence_penalty if request.presence_penalty else request.repetition_penalty
     async for new_token in chat_model.astream_chat(
         input_messages,
         system,
@@ -262,8 +260,8 @@ async def create_stream_chat_completion_response(
         temperature=request.temperature,
         top_p=request.top_p,
         max_new_tokens=request.max_tokens,
+        repetition_penalty=request.presence_penalty,
         stop=request.stop,
-        repetition_penalty=repetition_penalty,
     ):
         if len(new_token) != 0:
             yield _create_stream_chat_completion_chunk(
diff --git a/src/llamafactory/api/protocol.py b/src/llamafactory/api/protocol.py
index 2c5520ea..889d938e 100644
--- a/src/llamafactory/api/protocol.py
+++ b/src/llamafactory/api/protocol.py
@@ -103,11 +103,10 @@ class ChatCompletionRequest(BaseModel):
     temperature: Optional[float] = None
     top_p: Optional[float] = None
     n: int = 1
+    presence_penalty: Optional[float] = None
     max_tokens: Optional[int] = None
     stop: Optional[Union[str, list[str]]] = None
     stream: bool = False
-    presence_penalty: Optional[float] = None
-    repetition_penalty: Optional[float] = None
 
 
 class ChatCompletionResponseChoice(BaseModel):
diff --git a/src/llamafactory/data/template.py b/src/llamafactory/data/template.py
index f88d60bb..c64734ef 100644
--- a/src/llamafactory/data/template.py
+++ b/src/llamafactory/data/template.py
@@ -1686,15 +1686,9 @@ register_template(
 
 register_template(
     name="smollm",
-    format_system=StringFormatter(
-        slots=["<|im_start|>system\n{{content}}<|im_end|>\n"]
-    ),
-    format_user=StringFormatter(
-        slots=["<|im_start|>user\n{{content}}<|im_end|>\n"]
-    ),
-    format_assistant=StringFormatter(
-        slots=["<|im_start|>assistant\n{{content}}<|im_end|>\n"]
-    ),
+    format_user=StringFormatter(slots=["<|im_start|>user\n{{content}}<|im_end|>\n<|im_start|>assistant\n"]),
+    format_assistant=StringFormatter(slots=["{{content}}<|im_end|>\n"]),
+    format_system=StringFormatter(slots=["<|im_start|>system\n{{content}}<|im_end|>\n"]),
     stop_words=["<|im_end|>"],
 )
 
diff --git a/src/llamafactory/extras/constants.py b/src/llamafactory/extras/constants.py
index b06da885..53363e93 100644
--- a/src/llamafactory/extras/constants.py
+++ b/src/llamafactory/extras/constants.py
@@ -684,6 +684,10 @@ register_model_group(
             DownloadSource.DEFAULT: "google/gemma-3-1b-it",
             DownloadSource.MODELSCOPE: "LLM-Research/gemma-3-1b-it",
         },
+        "MedGemma-27B-Instruct": {
+            DownloadSource.DEFAULT: "google/medgemma-27b-text-it",
+            DownloadSource.MODELSCOPE: "google/medgemma-27b-text-it",
+        },
     },
     template="gemma",
 )
@@ -715,6 +719,14 @@ register_model_group(
             DownloadSource.DEFAULT: "google/gemma-3-27b-it",
             DownloadSource.MODELSCOPE: "LLM-Research/gemma-3-27b-it",
         },
+        "MedGemma-4B": {
+            DownloadSource.DEFAULT: "google/medgemma-4b-pt",
+            DownloadSource.MODELSCOPE: "google/medgemma-4b-pt",
+        },
+        "MedGemma-4B-Instruct": {
+            DownloadSource.DEFAULT: "google/medgemma-4b-it",
+            DownloadSource.MODELSCOPE: "google/medgemma-4b-it",
+        },
     },
     template="gemma3",
     multimodal=True,
@@ -2721,6 +2733,18 @@ register_model_group(
 
 register_model_group(
     models={
+        "SmolLM-135M": {
+            DownloadSource.DEFAULT: "HuggingFaceTB/SmolLM-135M",
+            DownloadSource.MODELSCOPE: "HuggingFaceTB/SmolLM-135M",
+        },
+        "SmolLM-360M": {
+            DownloadSource.DEFAULT: "HuggingFaceTB/SmolLM-360M",
+            DownloadSource.MODELSCOPE: "HuggingFaceTB/SmolLM-360M",
+        },
+        "SmolLM-1.7B": {
+            DownloadSource.DEFAULT: "HuggingFaceTB/SmolLM-1.7B",
+            DownloadSource.MODELSCOPE: "HuggingFaceTB/SmolLM-1.7B",
+        },
         "SmolLM-135M-Instruct": {
             DownloadSource.DEFAULT: "HuggingFaceTB/SmolLM-135M-Instruct",
             DownloadSource.MODELSCOPE: "HuggingFaceTB/SmolLM-135M-Instruct",
@@ -2733,6 +2757,30 @@ register_model_group(
             DownloadSource.DEFAULT: "HuggingFaceTB/SmolLM-1.7B-Instruct",
             DownloadSource.MODELSCOPE: "HuggingFaceTB/SmolLM-1.7B-Instruct",
         },
+        "SmolLM2-135M": {
+            DownloadSource.DEFAULT: "HuggingFaceTB/SmolLM2-135M",
+            DownloadSource.MODELSCOPE: "HuggingFaceTB/SmolLM2-135M",
+        },
+        "SmolLM2-360M": {
+            DownloadSource.DEFAULT: "HuggingFaceTB/SmolLM2-360M",
+            DownloadSource.MODELSCOPE: "HuggingFaceTB/SmolLM2-360M",
+        },
+        "SmolLM2-1.7B": {
+            DownloadSource.DEFAULT: "HuggingFaceTB/SmolLM2-1.7B",
+            DownloadSource.MODELSCOPE: "HuggingFaceTB/SmolLM2-1.7B",
+        },
+        "SmolLM2-135M-Instruct": {
+            DownloadSource.DEFAULT: "HuggingFaceTB/SmolLM2-135M-Instruct",
+            DownloadSource.MODELSCOPE: "HuggingFaceTB/SmolLM2-135M-Instruct",
+        },
+        "SmolLM2-360M-Instruct": {
+            DownloadSource.DEFAULT: "HuggingFaceTB/SmolLM2-360M-Instruct",
+            DownloadSource.MODELSCOPE: "HuggingFaceTB/SmolLM2-360M-Instruct",
+        },
+        "SmolLM2-1.7B-Instruct": {
+            DownloadSource.DEFAULT: "HuggingFaceTB/SmolLM2-1.7B-Instruct",
+            DownloadSource.MODELSCOPE: "HuggingFaceTB/SmolLM2-1.7B-Instruct",
+        },
     },
     template="smollm",
 )