diff --git a/src/transformers/cache_utils.py b/src/transformers/cache_utils.py
index 3b491b04607b57..490280ce813bd6 100644
--- a/src/transformers/cache_utils.py
+++ b/src/transformers/cache_utils.py
@@ -528,7 +528,7 @@ def from_batch_splits(cls, splits: List["DynamicCache"], num_hidden_layers: int
         cache = cls()
         for idx in range(len(splits[0])):
             key_cache = [current.key_cache[idx] for current in splits if current.key_cache[idx] != []]
-            value_cache = [current.key_cache[idx] for current in splits if current.key_cache[idx] != []]
+            value_cache = [current.value_cache[idx] for current in splits if current.value_cache[idx] != []]
             if key_cache != []:
                 layer_keys = torch.cat(key_cache, dim=0)
                 layer_values = torch.cat(value_cache, dim=0)
@@ -1523,7 +1523,10 @@ def crop(self, maximum_length: int):
         self.check_dynamic_cache(self.crop.__name__)
         self.self_attention_cache.crop(maximum_length)
 
-    def batch_split(self, full_batch_size: int, split_size: int) -> "List[EncoderDecoderCache]":
+    @deprecate_kwarg("num_hidden_layers", version="4.47.0")
+    def batch_split(
+        self, full_batch_size: int, split_size: int, num_hidden_layers: int = None
+    ) -> "List[EncoderDecoderCache]":
         """Split the current instance into a list of `DynamicCache` by the batch size. This will be used by
         `_split_model_inputs()` in `generation.utils`"""
         self.check_dynamic_cache(self.batch_split.__name__)
@@ -1536,7 +1539,10 @@ def batch_split(self, full_batch_size: int, split_size: int) -> "List[EncoderDec
         return out
 
     @classmethod
-    def from_batch_splits(cls, splits: List["EncoderDecoderCache"]) -> "EncoderDecoderCache":
+    @deprecate_kwarg("num_hidden_layers", version="4.47.0")
+    def from_batch_splits(
+        cls, splits: List["EncoderDecoderCache"], num_hidden_layers: int = None
+    ) -> "EncoderDecoderCache":
         """This is the opposite of the above `batch_split()` method. This will be used by `stack_model_outputs` in
         `generation.utils`"""
         self_attention_cache = DynamicCache()
diff --git a/tests/generation/test_utils.py b/tests/generation/test_utils.py
index b1d0042c65167f..76dc23ed9bf7c1 100644
--- a/tests/generation/test_utils.py
+++ b/tests/generation/test_utils.py
@@ -1046,7 +1046,6 @@ def test_contrastive_generate_low_memory(self):
             self.assertListEqual(low_output.tolist(), high_output.tolist())
 
     @pytest.mark.generate
-    @unittest.skip("Started to break with https://github.com/huggingface/transformers/pull/33703")
     def test_beam_search_low_memory(self):
         # Check that choosing 'low_memory' does not change the model output
         for model_class in self.all_generative_model_classes:
diff --git a/tests/models/blip_2/test_modeling_blip_2.py b/tests/models/blip_2/test_modeling_blip_2.py
index 0943661b96666c..a141ef40be1959 100644
--- a/tests/models/blip_2/test_modeling_blip_2.py
+++ b/tests/models/blip_2/test_modeling_blip_2.py
@@ -330,7 +330,7 @@ def __init__(
         hidden_act="gelu",
         hidden_dropout_prob=0.1,
         attention_probs_dropout_prob=0.1,
-        max_position_embeddings=20,
+        max_position_embeddings=512,
         eos_token_id=2,
         pad_token_id=1,
         bos_token_id=0,