[Quantization] register AscendQuantRMSNorm for quantization (#2856)

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

modelslim will generate self.bias for rms norm in quantization, since
RMSNorm in vllm has no this parameter, so its nesscesary
to create a AscendQuantRmsNorm.
### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?

tested by deepseek-v3.1-w8a8

<img width="2496" height="592" alt="image"
src="https://github.com/user-attachments/assets/004c6e76-3d7a-4a1f-b59f-a14304012663"
/>


- vLLM version: main
- vLLM main:
d6249d0699

Signed-off-by: 22dimensions <waitingwind@foxmail.com>

vllm_ascend/quantization/utils.py

@@ -9,8 +9,6 @@ from .w8a8 import (AscendC8KVCacheMethod, AscendW8A8FusedMoEMethod,
 from .w8a8_dynamic import (AscendW8A8DynamicFusedMoEMethod,
                            AscendW8A8DynamicLinearMethod)
 
-patched = False
-
 ASCEND_QUANTIZATION_METHOD_MAP: Dict[str, Dict[str, Type[Any]]] = {
     "W4A8_DYNAMIC": {
         "linear": AscendW4A8DynamicLinearMethod,