[MM][Bugfix] Update hf_config to hf_text_config (#5319)

### What this PR does / why we need it?

Following https://github.com/vllm-project/vllm-ascend/pull/5205, update
`hf_config` to `hf_text_config`.

Find more details at
https://github.com/vllm-project/vllm-ascend/pull/5205#issuecomment-3675417534
and
https://github.com/vllm-project/vllm-ascend/pull/5205#issuecomment-3677920872.

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: release/v0.13.0
- vLLM main:
5fbfa8d9ef

Signed-off-by: shen-shanshan <467638484@qq.com>

vllm_ascend/ops/linear_op.py

@@ -697,7 +697,7 @@ def is_moe_layer(prefix: str) -> bool:
     def get_moe_params():
         from vllm.config import get_current_vllm_config
         vllm_config = get_current_vllm_config()
-        config = vllm_config.model_config.hf_config
+        config = vllm_config.model_config.hf_text_config
         n_routed_experts = getattr(config, 'n_routed_experts', 0)
         first_k_dense_replace = getattr(config, 'first_k_dense_replace',
                                         float('inf'))

vllm_ascend/ops/mla.py

@@ -91,7 +91,7 @@ class AscendMultiHeadLatentAttention(MultiHeadLatentAttentionWrapper):
         self.qk_head_dim = qk_nope_head_dim + qk_rope_head_dim
         self.v_head_dim = v_head_dim
         self.prefix = prefix
-        hf_config = get_current_vllm_config().model_config.hf_config
+        hf_config = get_current_vllm_config().model_config.hf_text_config
         self.enable_shared_expert_dp = get_ascend_config(
         ).enable_shared_expert_dp
         self.tp_size = get_tensor_model_parallel_world_size()

vllm_ascend/ops/shared_weight_layer.py

@@ -247,6 +247,6 @@ def reach_layer_for_shared_weight_series(layer: LinearBase):
 
 
 def is_hidden_layer(vllm_config, layer: LinearBase) -> bool:
-    num_hidden_layers = vllm_config.model_config.hf_config.num_hidden_layers
+    num_hidden_layers = vllm_config.model_config.hf_text_config.num_hidden_layers
     layer_idx = extract_layer_index(layer.prefix)
     return layer_idx < num_hidden_layers