Merge branch 'main' into nightly

pyproject.toml

@@ -60,7 +60,7 @@ huggingfacenotorch = [
 ]
 huggingface = [
     "unsloth[huggingfacenotorch]",
-    "unsloth_zoo>=2025.12.5",
+    "unsloth_zoo>=2025.12.6",
     "torchvision",
     "unsloth[triton]",
 ]
@@ -523,7 +523,7 @@ colab-ampere-torch220 = [
     "flash-attn>=2.6.3 ; ('linux' in sys_platform)",
 ]
 colab-new = [
-    "unsloth_zoo>=2025.12.5",
+    "unsloth_zoo>=2025.12.6",
     "packaging",
     "tyro",
     "transformers>=4.51.3,!=4.52.0,!=4.52.1,!=4.52.2,!=4.52.3,!=4.53.0,!=4.54.0,!=4.55.0,!=4.55.1,!=4.57.0,<=4.57.3",

unsloth/models/_utils.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "2025.12.6"
+__version__ = "2025.12.7"
 
 __all__ = [
     "SUPPORTS_BFLOAT16",

unsloth/models/loader.py

@@ -280,6 +280,8 @@ class FastLanguageModel(FastLlamaModel):
                 trust_remote_code = trust_remote_code,
             )
             is_model = True
+        except ImportError:
+            raise
         except Exception as error:
             autoconfig_error = str(error)
             if "architecture" in autoconfig_error:
@@ -296,6 +298,8 @@ class FastLanguageModel(FastLlamaModel):
                 trust_remote_code = trust_remote_code,
             )
             is_peft = True
+        except ImportError:
+            raise
         except Exception as error:
             peft_error = str(error)
             if "architecture" in peft_error:
@@ -317,7 +321,8 @@ class FastLanguageModel(FastLlamaModel):
                 "Please separate the LoRA and base models to 2 repos."
             )
         model_types = get_transformers_model_type(
-            peft_config if peft_config is not None else model_config
+            peft_config if peft_config is not None else model_config,
+            trust_remote_code = trust_remote_code,
         )
         if len(model_types) == 1:
             model_type = model_types[0]
@@ -809,6 +814,8 @@ class FastModel(FastBaseModel):
                 trust_remote_code = trust_remote_code,
             )
             is_model = True
+        except ImportError:
+            raise
         except Exception as error:
             autoconfig_error = str(error)
             if "architecture" in autoconfig_error:
@@ -825,6 +832,8 @@ class FastModel(FastBaseModel):
                 trust_remote_code = trust_remote_code,
             )
             is_peft = True
+        except ImportError:
+            raise
         except Exception as error:
             peft_error = str(error)
             if "architecture" in peft_error:
@@ -844,7 +853,8 @@ class FastModel(FastBaseModel):
                 "Please separate the LoRA and base models to 2 repos."
             )
         model_types = get_transformers_model_type(
-            peft_config if peft_config is not None else model_config
+            peft_config if peft_config is not None else model_config,
+            trust_remote_code = trust_remote_code,
         )
         model_types_all = ",".join(model_types) + ","
 

unsloth/models/mapper.py

@@ -1251,6 +1251,11 @@ __INT_TO_FLOAT_MAPPER = \
         "unsloth/gpt-oss-safeguard-120b",
         "openai/gpt-oss-safeguard-120b",
     ),
+    "unsloth/functiongemma-270m-it-unsloth-bnb-4bit" : (
+        "unsloth/functiongemma-270m-it",
+        "google/functiongemma-270m-it",
+        "unsloth/functiongemma-270m-it-unsloth-bnb-4bit",
+    ),
 }
 
 INT_TO_FLOAT_MAPPER  = {}