[CI] green llama tests (#37244)

* green llama tests

* use cleanup instead

* better test comment; cleanup upgrade

* better test comment; cleanup upgrade

tests/models/t5/test_modeling_t5.py

@@ -24,6 +24,7 @@ from transformers import T5Config, is_torch_available
 from transformers.models.auto.modeling_auto import MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES
 from transformers.pytorch_utils import is_torch_greater_or_equal_than_2_4
 from transformers.testing_utils import (
+    cleanup,
     require_accelerate,
     require_sentencepiece,
     require_tokenizers,
@@ -1170,6 +1171,10 @@ class T5ModelFp16Tests(unittest.TestCase):
 @require_sentencepiece
 @require_tokenizers
 class T5ModelIntegrationTests(unittest.TestCase):
+    def tearDown(self):
+        # See LlamaIntegrationTest.tearDown(). Can be removed once LlamaIntegrationTest.tearDown() is removed.
+        cleanup(torch_device, gc_collect=False)
+
     @cached_property
     def model(self):
         return T5ForConditionalGeneration.from_pretrained("google-t5/t5-base").to(torch_device)