diff --git a/.github/workflows/docker-image.yml b/.github/workflows/docker-image.yml
index 13f61ff3..e028d36a 100644
--- a/.github/workflows/docker-image.yml
+++ b/.github/workflows/docker-image.yml
@@ -26,8 +26,12 @@ on:
       other_params:
         description: 'Other params in --xxx xxx'
         required: false
+      python_version:
+        description: 'Python version to use, default is 3.10.14'
+        required: false
+        default: '3.10.14'
 
-run-name: Docker-${{ inputs.modelscope_branch }}-${{ inputs.image_type }}-${{ inputs.workflow_name }}-by-@${{ github.actor }}
+run-name: Docker-${{ inputs.modelscope_branch }}-${{ inputs.image_type }}-${{ inputs.workflow_name }}-${{ inputs.python_version }}-by-@${{ github.actor }}
 
 jobs:
   build:
@@ -51,4 +55,4 @@ jobs:
       run: |
         set -e
         source ~/.bashrc
-        python docker/build_image.py --image_type ${{ github.event.inputs.image_type }} --modelscope_branch ${{ github.event.inputs.modelscope_branch }} --modelscope_version ${{ github.event.inputs.modelscope_version }} --swift_branch ${{ github.event.inputs.swift_branch }} --ci_image ${{ github.event.inputs.ci_image }} ${{ github.event.inputs.other_params }}
+        python docker/build_image.py --image_type ${{ github.event.inputs.image_type }} --python_version ${{ github.event.inputs.python_version }} --modelscope_branch ${{ github.event.inputs.modelscope_branch }} --modelscope_version ${{ github.event.inputs.modelscope_version }} --swift_branch ${{ github.event.inputs.swift_branch }} --ci_image ${{ github.event.inputs.ci_image }} ${{ github.event.inputs.other_params }}
diff --git a/modelscope/pipelines/cv/face_processing_base_pipeline.py b/modelscope/pipelines/cv/face_processing_base_pipeline.py
index b9b81c9c..b2c376ca 100644
--- a/modelscope/pipelines/cv/face_processing_base_pipeline.py
+++ b/modelscope/pipelines/cv/face_processing_base_pipeline.py
@@ -22,7 +22,7 @@ logger = get_logger()
 
 class FaceProcessingBasePipeline(Pipeline):
 
-    def __init__(self, model: str, **kwargs):
+    def __init__(self, model: str, use_det=True, **kwargs):
         """
         use `model` to create a face processing pipeline and output cropped img, scores, bbox and lmks.
 
@@ -30,11 +30,13 @@ class FaceProcessingBasePipeline(Pipeline):
             model: model id on modelscope hub.
 
         """
+        self.use_det = use_det
         super().__init__(model=model, **kwargs)
         # face detect pipeline
-        det_model_id = 'damo/cv_ddsar_face-detection_iclr23-damofd'
-        self.face_detection = pipeline(
-            Tasks.face_detection, model=det_model_id)
+        if use_det:
+            det_model_id = 'damo/cv_ddsar_face-detection_iclr23-damofd'
+            self.face_detection = pipeline(
+                Tasks.face_detection, model=det_model_id)
 
     def _choose_face(self,
                      det_result,
@@ -94,21 +96,27 @@ class FaceProcessingBasePipeline(Pipeline):
     def preprocess(self, input: Input) -> Dict[str, Any]:
         img = LoadImage.convert_to_ndarray(input)
         img = img[:, :, ::-1]
-        det_result = self.face_detection(img.copy())
-        rtn = self._choose_face(det_result, img_shape=img.shape)
-        if rtn is not None:
-            scores, bboxes, face_lmks = rtn
-            face_lmks = face_lmks.reshape(5, 2)
-            align_img, _ = align_face(img, (112, 112), face_lmks)
+        if self.use_det:
+            det_result = self.face_detection(img.copy())
+            rtn = self._choose_face(det_result, img_shape=img.shape)
+            if rtn is not None:
+                scores, bboxes, face_lmks = rtn
+                face_lmks = face_lmks.reshape(5, 2)
+                align_img, _ = align_face(img, (112, 112), face_lmks)
 
-            result = {}
-            result['img'] = np.ascontiguousarray(align_img)
-            result['scores'] = [scores]
-            result['bbox'] = bboxes
-            result['lmks'] = face_lmks
-            return result
+                result = {}
+                result['img'] = np.ascontiguousarray(align_img)
+                result['scores'] = [scores]
+                result['bbox'] = bboxes
+                result['lmks'] = face_lmks
+                return result
+            else:
+                return None
         else:
-            return None
+            result = {}
+            resized_img = cv2.resize(img, (112, 112))
+            result['img'] = np.ascontiguousarray(resized_img)
+            return result
 
     def align_face_padding(self, img, rect, padding_size=16, pad_pixel=127):
         rect = np.reshape(rect, (-1, 4))
diff --git a/modelscope/pipelines/cv/face_recognition_pipeline.py b/modelscope/pipelines/cv/face_recognition_pipeline.py
index 4af5a04f..8f595aef 100644
--- a/modelscope/pipelines/cv/face_recognition_pipeline.py
+++ b/modelscope/pipelines/cv/face_recognition_pipeline.py
@@ -14,10 +14,11 @@ from modelscope.outputs import OutputKeys
 from modelscope.pipelines import pipeline
 from modelscope.pipelines.base import Input, Pipeline
 from modelscope.pipelines.builder import PIPELINES
+from modelscope.pipelines.cv.face_processing_base_pipeline import \
+    FaceProcessingBasePipeline
 from modelscope.preprocessors import LoadImage
 from modelscope.utils.constant import ModelFile, Tasks
 from modelscope.utils.logger import get_logger
-from . import FaceProcessingBasePipeline
 
 logger = get_logger()
 
@@ -26,15 +27,14 @@ logger = get_logger()
     Tasks.face_recognition, module_name=Pipelines.face_recognition)
 class FaceRecognitionPipeline(FaceProcessingBasePipeline):
 
-    def __init__(self, model: str, **kwargs):
+    def __init__(self, model: str, use_det=True, **kwargs):
         """
         use `model` to create a face recognition pipeline for prediction
         Args:
             model: model id on modelscope hub.
         """
-
         # face recong model
-        super().__init__(model=model, **kwargs)
+        super().__init__(model=model, use_det=use_det, **kwargs)
         device = torch.device(
             f'cuda:{0}' if torch.cuda.is_available() else 'cpu')
         self.device = device
diff --git a/modelscope/preprocessors/templates/loader.py b/modelscope/preprocessors/templates/loader.py
index 7bed7ee2..a80d87b6 100644
--- a/modelscope/preprocessors/templates/loader.py
+++ b/modelscope/preprocessors/templates/loader.py
@@ -18,6 +18,7 @@ class TemplateInfo:
     template: str = None
     template_regex: str = None
     modelfile_prefix: str = None
+    allow_general_name: bool = True
 
 
 def cases(*names):
@@ -255,6 +256,12 @@ template_info = [
         modelfile_prefix=
         'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/phi3',
     ),
+    TemplateInfo(
+        template_regex=
+        f'.*{cases("phi4-mini", "phi-4-mini")}.*',
+        modelfile_prefix=
+        'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/phi4-mini',
+    ),
     TemplateInfo(
         template_regex=
         f'.*{cases("phi4", "phi-4")}{no_multi_modal()}.*',
@@ -470,6 +477,12 @@ template_info = [
         modelfile_prefix=
         'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/command-r-plus',
     ),
+    TemplateInfo(
+        template_regex=
+        f'.*{cases("command-r7b-arabic")}.*',
+        modelfile_prefix=
+        'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/command-r7b-arabic',
+    ),
     TemplateInfo(
         template_regex=
         f'.*{cases("command-r7b")}.*',
@@ -663,9 +676,17 @@ template_info = [
         modelfile_prefix=
         'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/granite3-guardian'),
     TemplateInfo(
-        template_regex=f'.*{cases("granite")}.*{cases("code")}.*', 
+        template_regex=f'.*{cases("granite")}.*{cases("code")}.*',
         modelfile_prefix=
         'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/granite-code'),
+    TemplateInfo(
+        template_regex=f'.*{cases("granite")}.*{cases("vision")}.*{cases("3.2")}.*',
+        modelfile_prefix=
+        'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/granite3.2-vision'),
+    TemplateInfo(
+        template_regex=f'.*{cases("granite")}.*{cases("3.2")}.*',
+        modelfile_prefix=
+        'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/granite3.2'),
     TemplateInfo(
         template_regex=f'.*{cases("granite-3.1")}.*{cases("2b", "8b")}.*', 
         modelfile_prefix=
@@ -733,6 +754,12 @@ template_info = [
         modelfile_prefix=
         'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/smallthinker'),
 
+    TemplateInfo(
+        template_regex=f'.*{cases("openthinker")}.*',
+        modelfile_prefix=
+        'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/openthinker',
+        allow_general_name=False),
+
     TemplateInfo(
         template_regex=
         f'.*{cases("olmo2", "olmo-2")}.*',
@@ -888,8 +915,14 @@ template_info = [
         template_regex=f'.*{cases("exaone")}.*',
         modelfile_prefix=
         'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/exaone3.5'),
-
-
+    TemplateInfo(
+        template_regex=f'.*{cases("r1-1776")}.*',
+        modelfile_prefix=
+        'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/r1-1776'),
+    TemplateInfo(
+        template_regex=f'.*{cases("deepscaler")}.*',
+        modelfile_prefix=
+        'https://modelscope.oss-cn-beijing.aliyuncs.com/llm_template/ollama/deepscaler'),
 ]
 
 
@@ -1014,33 +1047,50 @@ class TemplateLoader:
                 f'Please make sure you model_id: {model_id} '
                 f'and template_name: {template_name} is supported.')
         logger.info('Exporting to ollama:')
-        names = []
+        names = {}
+        match_infos = {}
         if gguf_meta:
             gguf_header_name = gguf_meta.get("general.name", None)
-            names.append(gguf_header_name)
+            if gguf_header_name:
+                names['gguf_header_name'] = gguf_header_name
         if model_id:
-            names.append(model_id)
-        for name in names:
+            names['model_id'] = model_id
+        for name_type, name in names.items():
             for _info in template_info:
                 if re.fullmatch(_info.template_regex, name):
                     if _info.modelfile_prefix and not kwargs.get('ignore_oss_model_file', False):
-                        template_str = TemplateLoader._read_content_from_url(
-                            _info.modelfile_prefix + '.template')
-                        if not template_str:
-                            logger.info(f'{name} has no template file.')
-                        params = TemplateLoader._read_content_from_url(_info.modelfile_prefix + '.params')
-                        if params:
-                            params = json.loads(params)
-                        else:
-                            logger.info(f'{name} has no params file.')
-                        license = TemplateLoader._read_content_from_url(
-                            _info.modelfile_prefix + '.license')
-                        if not template_str:
-                            logger.info(f'{name} has no license file.')
-                        format_out = TemplateLoader._format_return(template_str, params, split, license)
-                        if debug:
-                            return format_out, _info
-                        return format_out
+                        match_infos[name_type] = name, _info
+                        break
+
+        _name = None
+        _info = None
+        if len(match_infos) == 1:
+            _, (_name, _info) = match_infos.popitem()
+        elif len(match_infos) > 1:
+            if not match_infos['model_id'][1].allow_general_name:
+                _name, _info = match_infos['model_id']
+            else:
+                _name, _info = match_infos['gguf_header_name']
+
+        if _info:
+            template_str = TemplateLoader._read_content_from_url(
+                _info.modelfile_prefix + '.template')
+            if not template_str:
+                logger.info(f'{_name} has no template file.')
+            params = TemplateLoader._read_content_from_url(_info.modelfile_prefix + '.params')
+            if params:
+                params = json.loads(params)
+            else:
+                logger.info(f'{_name} has no params file.')
+            license = TemplateLoader._read_content_from_url(
+                _info.modelfile_prefix + '.license')
+            if not template_str:
+                logger.info(f'{_name} has no license file.')
+            format_out = TemplateLoader._format_return(template_str, params, split, license)
+            if debug:
+                return format_out, _info
+            return format_out
+
         if template_name:
             template = TemplateLoader.load_by_template_name(
                 template_name, **kwargs)
diff --git a/modelscope/utils/hf_util/patcher.py b/modelscope/utils/hf_util/patcher.py
index 6a41a5ce..b31b6e1d 100644
--- a/modelscope/utils/hf_util/patcher.py
+++ b/modelscope/utils/hf_util/patcher.py
@@ -345,7 +345,7 @@ def _patch_pretrained_class(all_imported_modules, wrap=False):
                 else:
                     all_available_modules.append(
                         get_wrapped_class(var, **ignore_file_pattern_kwargs))
-            except:  # noqa
+            except Exception:
                 all_available_modules.append(var)
         else:
             if has_from_pretrained and not hasattr(var,
@@ -370,9 +370,10 @@ def _patch_pretrained_class(all_imported_modules, wrap=False):
             if has_get_config_dict and not hasattr(var,
                                                    '_get_config_dict_origin'):
                 var._get_config_dict_origin = var.get_config_dict
-                var.get_config_dict = classmethod(
-                    partial(patch_get_config_dict,
-                            **ignore_file_pattern_kwargs))
+                var.get_config_dict = partial(
+                    patch_pretrained_model_name_or_path,
+                    ori_func=var._get_config_dict_origin,
+                    **ignore_file_pattern_kwargs)
 
             all_available_modules.append(var)
     return all_available_modules
@@ -618,6 +619,11 @@ def _patch_hub():
     # Patch repocard.validate
     from huggingface_hub import repocard
     if not hasattr(repocard.RepoCard, '_validate_origin'):
+
+        def load(*args, **kwargs):  # noqa
+            from huggingface_hub.errors import EntryNotFoundError
+            raise EntryNotFoundError(message='API not supported.')
+
         repocard.RepoCard._validate_origin = repocard.RepoCard.validate
         repocard.RepoCard.validate = lambda *args, **kwargs: None
         repocard.RepoCard._load_origin = repocard.RepoCard.load
diff --git a/modelscope/utils/hf_util/pipeline_builder.py b/modelscope/utils/hf_util/pipeline_builder.py
index 5386bead..20ae0535 100644
--- a/modelscope/utils/hf_util/pipeline_builder.py
+++ b/modelscope/utils/hf_util/pipeline_builder.py
@@ -1,13 +1,8 @@
 import os
 from typing import Optional, Union
 
-import torch
-from transformers import Pipeline as PipelineHF
-from transformers import PreTrainedModel, TFPreTrainedModel, pipeline
-from transformers.pipelines import check_task, get_task
-
 from modelscope.hub import snapshot_download
-from modelscope.utils.hf_util.patcher import _patch_pretrained_class, patch_hub
+from modelscope.utils.hf_util.patcher import _patch_pretrained_class
 
 
 def _get_hf_device(device):
@@ -21,6 +16,7 @@ def _get_hf_device(device):
 
 
 def _get_hf_pipeline_class(task, model):
+    from transformers.pipelines import check_task, get_task
     if not task:
         task = get_task(model)
     normalized_task, targeted_task, task_options = check_task(task)
@@ -35,7 +31,9 @@ def hf_pipeline(
     framework: Optional[str] = None,
     device: Optional[Union[int, str, 'torch.device']] = None,
     **kwargs,
-) -> PipelineHF:
+) -> 'transformers.Pipeline':
+    from transformers import pipeline
+
     if isinstance(model, str):
         if not os.path.exists(model):
             model = snapshot_download(model)
diff --git a/modelscope/utils/repo_utils.py b/modelscope/utils/repo_utils.py
index 85ddc2f7..55d16251 100644
--- a/modelscope/utils/repo_utils.py
+++ b/modelscope/utils/repo_utils.py
@@ -220,7 +220,7 @@ class RepoUtils:
 
 
 @dataclass
-class CommitInfo(str):
+class CommitInfo:
     """Data structure containing information about a newly created commit.
 
     Returned by any method that creates a commit on the Hub: [`create_commit`], [`upload_file`], [`upload_folder`],
@@ -240,46 +240,12 @@ class CommitInfo(str):
         oid (`str`):
             Commit hash id. Example: `"91c54ad1727ee830252e457677f467be0bfd8a57"`.
 
-        pr_url (`str`, *optional*):
-            Url to the PR that has been created, if any. Populated when `create_pr=True`
-            is passed.
-
-        pr_revision (`str`, *optional*):
-            Revision of the PR that has been created, if any. Populated when
-            `create_pr=True` is passed. Example: `"refs/pr/1"`.
-
-        pr_num (`int`, *optional*):
-            Number of the PR discussion that has been created, if any. Populated when
-            `create_pr=True` is passed. Can be passed as `discussion_num` in
-            [`get_discussion_details`]. Example: `1`.
-
-        _url (`str`, *optional*):
-            Legacy url for `str` compatibility. Can be the url to the uploaded file on the Hub (if returned by
-            [`upload_file`]), to the uploaded folder on the Hub (if returned by [`upload_folder`]) or to the commit on
-            the Hub (if returned by [`create_commit`]). Defaults to `commit_url`. It is deprecated to use this
-            attribute. Please use `commit_url` instead.
     """
 
     commit_url: str
     commit_message: str
     commit_description: str
     oid: str
-    pr_url: Optional[str] = None
-
-    # Computed from `pr_url` in `__post_init__`
-    pr_revision: Optional[str] = field(init=False)
-    pr_num: Optional[str] = field(init=False)
-
-    # legacy url for `str` compatibility (ex: url to uploaded file, url to uploaded folder, url to PR, etc.)
-    _url: str = field(
-        repr=False, default=None)  # type: ignore  # defaults to `commit_url`
-
-    def __new__(cls,
-                *args,
-                commit_url: str,
-                _url: Optional[str] = None,
-                **kwargs):
-        return str.__new__(cls, _url or commit_url)
 
     def to_dict(cls):
         return {
@@ -287,7 +253,6 @@ class CommitInfo(str):
             'commit_message': cls.commit_message,
             'commit_description': cls.commit_description,
             'oid': cls.oid,
-            'pr_url': cls.pr_url,
         }
 
 
diff --git a/tests/pipelines/test_face_recognition.py b/tests/pipelines/test_face_recognition.py
index 7b84590c..bdbdb849 100644
--- a/tests/pipelines/test_face_recognition.py
+++ b/tests/pipelines/test_face_recognition.py
@@ -17,8 +17,8 @@ class FaceRecognitionTest(unittest.TestCase):
 
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
     def test_face_compare(self):
-        img1 = 'data/test/images/face_recognition_1.png'
-        img2 = 'data/test/images/face_recognition_2.png'
+        img1 = 'https://modelscope.oss-cn-beijing.aliyuncs.com/test/images/face_recognition_1.png'
+        img2 = 'https://modelscope.oss-cn-beijing.aliyuncs.com/test/images/face_recognition_2.png'
 
         face_recognition = pipeline(
             Tasks.face_recognition, model=self.model_id)
@@ -27,6 +27,30 @@ class FaceRecognitionTest(unittest.TestCase):
         sim = np.dot(emb1[0], emb2[0])
         print(f'Cos similarity={sim:.3f}, img1:{img1}  img2:{img2}')
 
+    @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
+    def test_face_compare_use_det(self):
+        img1 = 'https://modelscope.oss-cn-beijing.aliyuncs.com/test/images/face_recognition_1.png'
+        img2 = 'https://modelscope.oss-cn-beijing.aliyuncs.com/test/images/face_recognition_2.png'
+
+        face_recognition = pipeline(
+            Tasks.face_recognition, model=self.model_id, use_det=True)
+        emb1 = face_recognition(img1)[OutputKeys.IMG_EMBEDDING]
+        emb2 = face_recognition(img2)[OutputKeys.IMG_EMBEDDING]
+        sim = np.dot(emb1[0], emb2[0])
+        print(f'Cos similarity={sim:.3f}, img1:{img1}  img2:{img2}')
+
+    @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
+    def test_face_compare_not_use_det(self):
+        img1 = 'https://modelscope.oss-cn-beijing.aliyuncs.com/test/images/face_recognition_1.png'
+        img2 = 'https://modelscope.oss-cn-beijing.aliyuncs.com/test/images/face_recognition_2.png'
+
+        face_recognition = pipeline(
+            Tasks.face_recognition, model=self.model_id, use_det=False)
+        emb1 = face_recognition(img1)[OutputKeys.IMG_EMBEDDING]
+        emb2 = face_recognition(img2)[OutputKeys.IMG_EMBEDDING]
+        sim = np.dot(emb1[0], emb2[0])
+        print(f'Cos similarity={sim:.3f}, img1:{img1}  img2:{img2}')
+
 
 if __name__ == '__main__':
     unittest.main()
diff --git a/tests/tools/test_to_ollama.py b/tests/tools/test_to_ollama.py
index e7a686d6..a7f8275d 100644
--- a/tests/tools/test_to_ollama.py
+++ b/tests/tools/test_to_ollama.py
@@ -122,6 +122,36 @@ class TestToOllama(unittest.TestCase):
 
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
     def test_check_template_type(self):
+        _test_check_tmpl_type(
+            'DevQuasar/CohereForAI.c4ai-command-r7b-arabic-02-2025-GGUF',
+            'command-r7b-arabic',
+            gguf_meta={
+                'general.name': 'CohereForAI.c4ai Command R7B Arabic 02 2025'
+            })
+        _test_check_tmpl_type(
+            'lmstudio-community/granite-vision-3.2-2b-GGUF',
+            'granite3.2-vision',
+            gguf_meta={'general.name': 'Granite Vision 3.2 2b'})
+        _test_check_tmpl_type(
+            'unsloth/Phi-4-mini-instruct-GGUF',
+            'phi4-mini',
+            gguf_meta={'general.name': 'Phi 4 Mini Instruct'})
+        _test_check_tmpl_type(
+            'lmstudio-community/granite-3.2-2b-instruct-GGUF',
+            'granite3.2',
+            gguf_meta={'general.name': 'Granite 3.2 2b Instruct'})
+        _test_check_tmpl_type(
+            'unsloth/r1-1776-GGUF',
+            'r1-1776',
+            gguf_meta={'general.name': 'R1 1776'})
+        _test_check_tmpl_type(
+            'QuantFactory/DeepScaleR-1.5B-Preview-GGUF',
+            'deepscaler',
+            gguf_meta={'general.name': 'DeepScaleR 1.5B Preview'})
+        _test_check_tmpl_type(
+            'lmstudio-community/OpenThinker-32B-GGUF',
+            'openthinker',
+            gguf_meta={'general.name': 'Qwen2.5 7B Instruct'})
         _test_check_tmpl_type(
             'LLM-Research/Llama-3.3-70B-Instruct',
             'llama3.3',