Update tiny models and a few fixes (#22928)

* run_check_tiny_models

* update summary

* update mixin

* update pipeline_model_mapping

* update pipeline_model_mapping

* Update for gpt_bigcode

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/gpt_bigcode/test_modeling_gpt_bigcode.py

@@ -407,7 +407,7 @@ class GPTBigCodeModelTester:
 
 
 @require_torch
-class GPTBigCodeMQAModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin, unittest.TestCase):
+class GPTBigCodeModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin, unittest.TestCase):
     # TODO: Update the tests to use valid pretrained models.
     all_model_classes = (
         (
@@ -420,11 +420,6 @@ class GPTBigCodeMQAModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTe
         else ()
     )
     all_generative_model_classes = (GPTBigCodeForCausalLM,) if is_torch_available() else ()
-    fx_compatible = False
-    test_missing_keys = False
-    test_pruning = False
-    test_torchscript = False
-    multi_query = True
     pipeline_model_mapping = (
         {
             "feature-extraction": GPTBigCodeModel,
@@ -436,6 +431,11 @@ class GPTBigCodeMQAModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTe
         if is_torch_available()
         else {}
     )
+    fx_compatible = False
+    test_missing_keys = False
+    test_pruning = False
+    test_torchscript = False
+    multi_query = True
 
     # special case for DoubleHeads model
     def _prepare_for_class(self, inputs_dict, model_class, return_labels=False):
@@ -521,7 +521,7 @@ class GPTBigCodeMQAModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTe
 
 
 @require_torch
-class GPTBigCodeMHAModelTest(GPTBigCodeMQAModelTest):
+class GPTBigCodeMHAModelTest(GPTBigCodeModelTest):
     # `parameterized_class` breaks with mixins, so we use inheritance instead
     multi_query = False