diff --git a/tests/ut/kv_connector/test_mooncake_connector.py b/tests/ut/kv_connector/test_mooncake_connector.py
index fabb67b9..48271269 100644
--- a/tests/ut/kv_connector/test_mooncake_connector.py
+++ b/tests/ut/kv_connector/test_mooncake_connector.py
@@ -1195,7 +1195,7 @@ class TestMooncakeConnectorWorker(unittest.TestCase):
                                 "prefill": {"tp_size": prefill_tp_size, "dp_size": 1, "pp_size": prefill_pp_size},
                                 "decode": {"tp_size": decode_tp_size, "dp_size": 1, "pp_size": 1}
                             }.get(k, d)):
-                self.vllm_config.model_config.hf_config.num_key_value_heads = num_kv_heads
+                self.vllm_config.model_config.hf_text_config.num_key_value_heads = num_kv_heads
                 self.vllm_config.model_config.is_deepseek_mla = is_deepseek_mla
                 worker = MooncakeConnectorWorker(self.vllm_config,
                                                  self.engine_id)
diff --git a/vllm_ascend/distributed/mooncake_connector.py b/vllm_ascend/distributed/mooncake_connector.py
index 92ff6413..8f269610 100644
--- a/vllm_ascend/distributed/mooncake_connector.py
+++ b/vllm_ascend/distributed/mooncake_connector.py
@@ -319,14 +319,14 @@ class KVCacheRecvingThread(threading.Thread):
         self.block_size = self.vllm_config.cache_config.block_size
         if not is_vl_model(vllm_config):
             if self.use_mla:
-                self.k_head_dim = self.model_config.hf_config.kv_lora_rank
-                self.v_head_dim = self.model_config.hf_config.qk_rope_head_dim
+                self.k_head_dim = self.model_config.hf_text_config.kv_lora_rank
+                self.v_head_dim = self.model_config.hf_text_config.qk_rope_head_dim
                 self.num_kv_heads = 1
             else:
-                self.k_head_dim = self.model_config.hf_config.head_dim
-                self.v_head_dim = self.model_config.hf_config.head_dim
+                self.k_head_dim = self.model_config.hf_text_config.head_dim
+                self.v_head_dim = self.model_config.hf_text_config.head_dim
                 self.num_kv_heads = max(
-                    self.model_config.hf_config.num_key_value_heads //
+                    self.model_config.hf_text_config.num_key_value_heads //
                     self.tp_size, 1)
 
     def add_request(self, request_id: str, local_block_ids: list[int],
@@ -438,7 +438,7 @@ class KVCacheRecvingThread(threading.Thread):
 
         remote_kv_caches_base_addrs = \
             self.kv_caches_base_addr[remote_engine_id][remote_handshake_port]
-        num_layers = self.model_config.hf_config.num_hidden_layers
+        num_layers = self.model_config.hf_text_config.num_hidden_layers
         first_layer_index, end_layer_index = get_pp_indices(
             num_layers, prefill_pp_rank, self._prefill_pp_size)
         num_cache_per_layer = len(list(
@@ -503,10 +503,11 @@ class KVCacheRecvingThread(threading.Thread):
         k_cache = list(self.kv_caches.values())[0][0]
         dtype = k_cache.dtype
         device = k_cache.device
-        head_dim = self.model_config.hf_config.head_dim
+        head_dim = self.model_config.hf_text_config.head_dim
         block_size = self.vllm_config.cache_config.block_size
         num_kv_head = max(
-            self.model_config.hf_config.num_key_value_heads // self.tp_size, 1)
+            self.model_config.hf_text_config.num_key_value_heads //
+            self.tp_size, 1)
 
         flat_block_ids = [item for sublist in block_ids for item in sublist]
         block_ids_tensor = torch.tensor(flat_block_ids, dtype=torch.int32)
@@ -1010,7 +1011,7 @@ class MooncakeConnectorWorker:
 
         self.max_device_id = self.tp_size * self.dp_size * self.pcp_size * self.pp_size
         self.kv_role = vllm_config.kv_transfer_config.kv_role
-        self.num_key_value_heads = self.vllm_config.model_config.hf_config.num_key_value_heads
+        self.num_key_value_heads = self.vllm_config.model_config.hf_text_config.num_key_value_heads
 
         # Handshake base port
         self.side_channel_port = (