[model] support Mistral3.1 small 2503 (#8335)

src/llamafactory/data/mm_plugin.py

@@ -1274,9 +1274,10 @@ class PixtralPlugin(BasePlugin):
             content = message["content"]
             while IMAGE_PLACEHOLDER in content:
                 if self.expand_mm_tokens:
+                    patch_size = processor.patch_size * getattr(processor, "spatial_merge_size", 1)
                     height, width = next(image_sizes)
-                    num_height_tokens = height // processor.patch_size
-                    num_width_tokens = width // processor.patch_size
+                    num_height_tokens = height // patch_size
+                    num_width_tokens = width // patch_size
                     replace_tokens = [[self.image_token] * num_width_tokens + [image_break_token]] * num_height_tokens
                     replace_tokens = [item for sublist in replace_tokens for item in sublist]  # flatten list
                     replace_tokens[-1] = image_end_token

src/llamafactory/data/template.py

@@ -1433,6 +1433,7 @@ register_template(
     format_observation=StringFormatter(slots=["""[TOOL_RESULTS]{"content": {{content}}}[/TOOL_RESULTS]"""]),
     format_tools=ToolFormatter(tool_format="mistral"),
     format_prefix=EmptyFormatter(slots=[{"bos_token"}]),
+    mm_plugin=get_mm_plugin(name="pixtral", image_token="[IMG]"),
 )
 
 

src/llamafactory/extras/constants.py

@@ -1592,6 +1592,22 @@ register_model_group(
 )
 
 
+register_model_group(
+    models={
+        "Mistral-Small-24B-Base-2503": {
+            DownloadSource.DEFAULT: "mistralai/Mistral-Small-24B-Base-2503",
+            DownloadSource.MODELSCOPE: "mistralai/Mistral-Small-24B-Base-2503",
+        },
+        "Mistral-Small-24B-Instruct-2503": {
+            DownloadSource.DEFAULT: "mistralai/Mistral-Small-24B-Instruct-2503",
+            DownloadSource.MODELSCOPE: "mistralai/Mistral-Small-24B-Instruct-2503",
+        },
+    },
+    template="mistral_small",
+    multimodal=True,
+)
+
+
 register_model_group(
     models={
         "Mixtral-8x7B-v0.1": {

src/llamafactory/model/model_utils/unsloth.py

@@ -21,14 +21,17 @@ from ...extras.misc import get_current_device
 if TYPE_CHECKING:
     from transformers import PretrainedConfig, PreTrainedModel
 
-    from ...hparams import ModelArguments, FinetuningArguments
+    from ...hparams import FinetuningArguments, ModelArguments
 
 
 logger = logging.get_logger(__name__)
 
 
 def _get_unsloth_kwargs(
-    config: "PretrainedConfig", model_name_or_path: str, model_args: "ModelArguments", finetuning_args: "FinetuningArguments"
+    config: "PretrainedConfig",
+    model_name_or_path: str,
+    model_args: "ModelArguments",
+    finetuning_args: "FinetuningArguments",
 ) -> dict[str, Any]:
     return {
         "model_name": model_name_or_path,

src/llamafactory/model/model_utils/visual.py

@@ -263,6 +263,11 @@ _register_composite_model(
 )
 
 
+_register_composite_model(
+    model_type="mistral3",
+)
+
+
 _register_composite_model(
     model_type="qwen2_audio",
     vision_model_keys=["audio_tower"],