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

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### 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>
This commit is contained in:
SparrowMu
2026-03-11 00:12:02 +08:00
committed by GitHub
parent 239683c7a6
commit 54668e73c5
6 changed files with 556 additions and 1 deletions
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2
vllm_ascend/patch/worker/__init__.py
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@@ -30,6 +30,8 @@ import vllm_ascend.patch.platform.patch_sched_yield # noqa
import vllm_ascend.patch.worker.patch_unquantized_gemm # noqa
import vllm_ascend.patch.worker.patch_bert # noqa
import vllm_ascend.patch.worker.patch_distributed # noqa
import vllm_ascend.patch.worker.patch_minimax_m2 # noqa
import vllm_ascend.patch.worker.patch_minimax_m2_linear_attn # noqa
import vllm_ascend.patch.worker.patch_multimodal_merge # noqa
import vllm_ascend.patch.worker.patch_qwen3_next # noqa
import vllm_ascend.patch.worker.patch_qwen3_next_mtp # noqa