[Bugfix] Support Kimi-K2.5 models (#6755)

### What this PR does / why we need it?
This PR supports the Kimi-K2.5 models on the NPU of bf16 and w4a8
weights.
The corresponding PR in the vllm community has been merged:
https://github.com/vllm-project/vllm/pull/34501

### Does this PR introduce _any_ user-facing change?
- No.

### How was this patch tested?
We test the Kimi-K2.5 weights. The weights path:
https://modelscope.cn/models/Eco-Tech/Kimi-K2.5-W4A8
Successfully ran on 910B NPU using vllm-ascend by the w4a8 weights.

- vLLM version: v0.15.0
- vLLM main:
9562912cea

---------

Signed-off-by: LoganJane <LoganJane73@hotmail.com>

vllm_ascend/quantization/modelslim_config.py

@@ -54,6 +54,10 @@ QUANT_MODEL_PREFIX_MAPPINGS: dict[str, dict[str, str]] = {
         "language_model.lm_head.": "lm_head.",
         "language_model.model.": "model.language_model.",
     },
+    "kimi_k25": {
+        "mm_projector.linear_1": "mm_projector.proj.0",
+        "mm_projector.linear_2": "mm_projector.proj.2",
+    },
 }
 
 # key: model_type
@@ -393,8 +397,9 @@ class AscendModelSlimConfig(QuantizationConfig):
         else:
             from vllm.model_executor.layers.attention import Attention
 
-        if prefix.startswith("language_model"):
-            prefix = prefix.split(".", 1)[-1]
+        if model_type != "kimi_k2":
+            if prefix.startswith("language_model"):
+                prefix = prefix.split(".", 1)[-1]
         if isinstance(layer, LinearBase):
             if self.is_layer_skipped_ascend(prefix, self.packed_modules_mapping):
                 # Delayed import to avoid circular import