[Bugfix] Fix the acceptance rates dorp issue when applying eagle3 to QuaRot model (#6914)

### What this PR does / why we need it?
When using the target model after rotational quantization, the
acceptance rate decreases because the fc weight of the draft model has
not undergone rotational quantization(issue: #6445). We fixed this issue
by performing rotation quantization on the fc weight of the draft model
in the same way as the main model when loading draft model.

- vLLM version: v0.16.0
- vLLM main:
15d76f74e2

Signed-off-by: zhaomingyu <zhaomingyu13@h-partners.com>

vllm_ascend/patch/__init__.py

@@ -305,3 +305,14 @@
 #       https://github.com/vllm-project/vllm/pull/34336
 #    Future Plan:
 #       Remove this patch when vLLM merges the PR.
+# ** 16. File: worker/patch_qwen3_quarot.py**
+# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+#   1. `vllm.model_executor.models.llama_eagle3.Eagle3LlamaForCausalLM.load_weights`
+#    Why:
+#       vllm-ascend reused the loading logic of drafter model from vllm,
+#       but vllm doesn't need to apply to Ascend quantization.
+#    How：
+#       Dynamically replace the `load_weights` function at runtime,
+#       and fix `target_config` into the new implementation with a closure.
+#    Future Plan:
+#       Remove this patch when vLLM merges the PR.