[CI] green llama tests (#37244)

* green llama tests

* use cleanup instead

* better test comment; cleanup upgrade

* better test comment; cleanup upgrade

tests/models/diffllama/test_modeling_diffllama.py

@@ -25,6 +25,7 @@ from parameterized import parameterized
 from transformers import AutoTokenizer, DiffLlamaConfig, StaticCache, is_torch_available, set_seed
 from transformers.testing_utils import (
     backend_empty_cache,
+    cleanup,
     require_bitsandbytes,
     require_flash_attn,
     require_read_token,
@@ -685,6 +686,10 @@ class DiffLlamaIntegrationTest(unittest.TestCase):
             # 8 is for A100 / A10 and 7 for T4
             cls.cuda_compute_capability_major_version = torch.cuda.get_device_capability()[0]
 
+    def tearDown(self):
+        # See LlamaIntegrationTest.tearDown(). Can be removed once LlamaIntegrationTest.tearDown() is removed.
+        cleanup(torch_device, gc_collect=False)
+
     @slow
     @require_torch_accelerator
     @require_read_token
@@ -884,7 +889,7 @@ class Mask4DTestHard(unittest.TestCase):
         max_cache_len = 16  # note that max_cache_len is greater than the attention_mask.shape[-1]
         past_key_values = StaticCache(
             config=self.model.config,
-            batch_size=1,
+            max_batch_size=1,
             max_cache_len=max_cache_len,
             device=torch_device,
             dtype=self.model.dtype,
@@ -932,7 +937,7 @@ class Mask4DTestHard(unittest.TestCase):
         max_cache_len = 16  # note that max_cache_len is greater than the attention_mask.shape[-1]
         past_key_values = StaticCache(
             config=self.model.config,
-            batch_size=1,
+            max_batch_size=1,
             max_cache_len=max_cache_len,
             device=torch_device,
             dtype=self.model.dtype,