diff --git a/.github/workflows/pr-ci-caller.yml b/.github/workflows/pr-ci-caller.yml
index 2c1149b3ac9b..a5ecd5e7f548 100644
--- a/.github/workflows/pr-ci-caller.yml
+++ b/.github/workflows/pr-ci-caller.yml
@@ -7,6 +7,7 @@ on:
     branches:
       - main
       - ci-*
+      - try_smaller_group
 
 concurrency:
   # Group by PR number, commit SHA (main) to avoid cross-branch cancellation, or branch ref for cancellation within each branch
@@ -19,5 +20,5 @@ permissions:
 jobs:
   pr-ci:
     # DON'T use commit sha here before the CI migration is finished
-    uses: huggingface/transformers-test-ci/.github/workflows/pr-ci_dynamic_caller_example.yml@main # main
+    uses: huggingface/transformers-test-ci/.github/workflows/pr-ci_dynamic_caller_example.yml@debug_checkout # small_runner
 
diff --git a/src/transformers/modeling_utils.py b/src/transformers/modeling_utils.py
index 544cb3698cb5..6d26bbca78f0 100644
--- a/src/transformers/modeling_utils.py
+++ b/src/transformers/modeling_utils.py
@@ -1203,6 +1203,8 @@ class PreTrainedModel(nn.Module, EmbeddingAccessMixin, ModuleUtilsMixin, PushToH
         - **can_record_outputs** (dict):
     """
 
+    b = 1
+
     # General model properties
     config_class: type[PreTrainedConfig] | None = None
     generation_config_class: type[GenerationConfig] = GenerationConfig  # default, used with `GenerationMixin`
diff --git a/tests/test_image_processing_common.py b/tests/test_image_processing_common.py
index 806e557f8146..c3e8607f7dd5 100644
--- a/tests/test_image_processing_common.py
+++ b/tests/test_image_processing_common.py
@@ -16,12 +16,10 @@
 import json
 import os
 import pathlib
-import subprocess
 import sys
 import tempfile
 import warnings
 from copy import deepcopy
-from datetime import datetime
 
 import httpx
 import numpy as np
@@ -588,41 +586,98 @@ def test_new_models_require_torchvision_backend(self):
         if not self.image_processing_classes:
             self.skipTest("No image processing class defined")
 
-        def _is_old_model_by_commit_date(model_type, date_cutoff=(2025, 9, 1)):
-            try:
-                # Convert model_type to directory name and construct file path
-                model_dir = model_type.replace("-", "_")
-                slow_processor_file = f"src/transformers/models/{model_dir}"
-                # Check if the file exists otherwise skip the test
-                if not os.path.exists(slow_processor_file):
-                    return None
-                # Get the first commit date of the slow processor file
-                result = subprocess.run(
-                    ["git", "log", "--reverse", "--pretty=format:%ad", "--date=iso", slow_processor_file],
-                    capture_output=True,
-                    text=True,
-                    cwd=os.getcwd(),
-                )
-                if result.returncode != 0 or not result.stdout.strip():
-                    return None
-                # Parse the first line (earliest commit)
-                first_line = result.stdout.strip().split("\n")[0]
-                date_part = first_line.split(" ")[0]  # Extract just the date part
-                commit_date = datetime.strptime(date_part, "%Y-%m-%d")
-                # Check if committed before the cutoff date
-                cutoff_date = datetime(*date_cutoff)
-                return commit_date <= cutoff_date
-
-            except Exception:
-                # If any error occurs, skip the test
-                return None
+        # Old models are those whose image processing file was first committed before 2025-09-01.
+        _OLD_MODELS = {
+            "aria",
+            "beit",
+            "bit",
+            "blip",
+            "bridgetower",
+            "chameleon",
+            "chinese_clip",
+            "clip",
+            "cohere2_vision",
+            "conditional_detr",
+            "convnext",
+            "deepseek_vl",
+            "deepseek_vl_hybrid",
+            "deformable_detr",
+            "deit",
+            "depth_pro",
+            "detr",
+            "dinov3_vit",
+            "donut",
+            "dpt",
+            "efficientloftr",
+            "efficientnet",
+            "eomt",
+            "flava",
+            "fuyu",
+            "gemma3",
+            "glm4v",
+            "glpn",
+            "got_ocr2",
+            "grounding_dino",
+            "idefics",
+            "idefics2",
+            "idefics3",
+            "imagegpt",
+            "janus",
+            "kosmos2_5",
+            "layoutlmv2",
+            "layoutlmv3",
+            "levit",
+            "superglue",
+            "lightglue",
+            "llama4",
+            "llava",
+            "llava_next",
+            "llava_onevision",
+            "mask2former",
+            "maskformer",
+            "mllama",
+            "mobilenet_v1",
+            "mobilenet_v2",
+            "mobilevit",
+            "nougat",
+            "oneformer",
+            "ovis2",
+            "owlv2",
+            "owlvit",
+            "perceiver",
+            "perception_lm",
+            "phi4_multimodal",
+            "pix2struct",
+            "pixtral",
+            "poolformer",
+            "prompt_depth_anything",
+            "pvt",
+            "qwen2_vl",
+            "rt_detr",
+            "sam",
+            "sam2",
+            "segformer",
+            "seggpt",
+            "siglip",
+            "siglip2",
+            "smolvlm",
+            "superpoint",
+            "swin2sr",
+            "textnet",
+            "tvp",
+            "videomae",
+            "vilt",
+            "vit",
+            "vitmatte",
+            "vitpose",
+            "vivit",
+            "yolos",
+            "zoedepth",
+        }
 
         test_file_path = pathlib.Path(sys.modules[self.__class__.__module__].__file__).resolve()
         model_type = test_file_path.parent.name
-        # Check if this is a new model (added after 2024-01-01) based on git history
-        is_old_model = _is_old_model_by_commit_date(model_type)
-        if is_old_model is None:
-            self.skipTest(f"Could not determine if {model_type} is new based on git history")
+        is_old_model = model_type in _OLD_MODELS
         # New models must support torchvision backend
         self.assertTrue(
             is_old_model,
diff --git a/utils/tests_fetcher.py b/utils/tests_fetcher.py
index a138ef2eaacb..2f39433ca73f 100644
--- a/utils/tests_fetcher.py
+++ b/utils/tests_fetcher.py
@@ -62,6 +62,7 @@
 
 # List here the models not to be filtered by `filter_tests`.
 
+a = 1
 
 PATH_TO_REPO = Path(__file__).parent.parent.resolve()
 PATH_TO_EXAMPLES = PATH_TO_REPO / "examples"