[Model] Support Minimax-m2.5 on NPU (#7105)

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

Initial version to support minimax-m2.5 on vllm-ascend. 
This commit coverting original fp8 weight to a quantilized bf16 to
support Minimax-m2.5 on NPU.

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

### How was this patch tested?

- vLLM version: v0.16.0
- vLLM main:
4034c3d32e

### Test Report
Self tested precision summary, where the official precision score of
AIME2025 is 86.3
<img width="426" height="84" alt="image"
src="https://github.com/user-attachments/assets/a3ce2452-92fa-4713-962e-862248e0b61a"
/>

---------

Signed-off-by: limuyuan <limuyuan3@huawei.com>
Signed-off-by: SparrowMu <52023119+SparrowMu@users.noreply.github.com>
Co-authored-by: limuyuan <limuyuan3@huawei.com>

vllm_ascend/patch/platform/__init__.py

@@ -19,6 +19,7 @@ import os
 import vllm_ascend.patch.platform.patch_distributed  # noqa
 import vllm_ascend.patch.platform.patch_fusion_matcher_compat_ops  # noqa
 import vllm_ascend.patch.platform.patch_mamba_config  # noqa
+import vllm_ascend.patch.platform.patch_minimax_m2_config  # noqa
 import vllm_ascend.patch.platform.patch_sched_yield  # noqa
 
 if os.getenv("DYNAMIC_EPLB", "false").lower() in ("true", "1") or os.getenv("EXPERT_MAP_RECORD", "false") == "true":