diff --git a/vllm_mindspore/model_executor/models/mf_models/deepseek_v3.py b/vllm_mindspore/model_executor/models/mf_models/deepseek_v3.py
index a063fd09e8b7df3f04ff072b6e325b1f90108798..ceeffdb2fd1a7dbf4fcc599bbbba9a88d937fd13 100644
--- a/vllm_mindspore/model_executor/models/mf_models/deepseek_v3.py
+++ b/vllm_mindspore/model_executor/models/mf_models/deepseek_v3.py
@@ -74,13 +74,10 @@ def _pad_block_table(block_tables, seq_length, block_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):
diff --git a/vllm_mindspore/model_executor/models/mf_models/qwen2.py b/vllm_mindspore/model_executor/models/mf_models/qwen2.py
index bb9ffcd082effaca55cc84322b060ed00fa098bb..5e2b58e0484e8c3028cf78690af72a5c2a581c03 100644
--- a/vllm_mindspore/model_executor/models/mf_models/qwen2.py
+++ b/vllm_mindspore/model_executor/models/mf_models/qwen2.py
@@ -65,13 +65,10 @@ def _pad_block_table(block_tables, seq_length, block_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):