[2/N][Refactor][Quantization] clean quantization patch (#2785)

### What this PR does / why we need it?
quantization patch is unused code

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

### How was this patch tested?
tested by CI

- vLLM version: v0.10.1.1
- vLLM main:
f4962a6d55

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

vllm_ascend/ops/vocab_parallel_embedding.py

@@ -97,6 +97,7 @@ class AscendVocabParallelEmbedding(VocabParallelEmbedding):
 
         if params_dtype is None:
             params_dtype = torch.get_default_dtype()
+        self.params_dtype = params_dtype
         # Divide the weight matrix along the vocaburaly dimension.
         self.num_added_embeddings = self.num_embeddings - self.org_vocab_size
         self.num_embeddings_per_partition = divide(self.num_embeddings_padded,