diff --git a/vllm_mindspore/model_executor/models/mf_models/mf_model_base.py b/vllm_mindspore/model_executor/models/mf_models/mf_model_base.py
index 91a0446e69a4e227b85f9df362954adf7d657c06..7d661d9bac8cab3fa3861691d82a4f8fc7999167 100644
--- a/vllm_mindspore/model_executor/models/mf_models/mf_model_base.py
+++ b/vllm_mindspore/model_executor/models/mf_models/mf_model_base.py
@@ -56,13 +56,10 @@ def _pad_block_table(block_tables, seq_length, block_size, pad_size):
         )
         return fake_block_tables
 
-    block_tables_list = block_tables.tolist()
-    padded_block_tables = [
-        _pad_to_max(block_table, seq_length // block_size)
-        for block_table in block_tables_list
-    ]
-
-    return Tensor(np.array(padded_block_tables).astype(np.int32))
+    block_tables_np = block_tables.asnumpy().astype(np.int32)
+    pad_size = seq_length // block_size - block_tables_np.shape[1]
+    block_tables_np = np.pad(block_tables_np, ((0, 0),(0, pad_size)), 'constant', constant_values=(-1, -1))
+    return block_tables_np
 
 
 def _batch_seq(input_tokens, prefill):