[Bugfix][NPU] Fix MiniMax-H3 INT8 quantization dispatch (#6876)

Signed-off-by: KrystalRay <keeleiray@gmail.com>
Co-authored-by: KrystalRay <keeleiray@gmail.com>

tests/diffusion/models/minimax_h3/test_minimax_h3_qwen3vl_swiglu.py

@@ -49,3 +49,29 @@ def test_qwen3_vl_npu_swiglu_matches_two_projection_reference() -> None:
         atol=2e-2,
         rtol=2e-2,
     )
+
+
+@pytest.mark.skipif(not current_omni_platform.is_npu(), reason="requires Ascend NPU")
+def test_qwen3_vl_npu_swiglu_forward_uses_projection_module(mocker) -> None:
+    from vllm_omni.platforms.npu.models import minimax_h3
+    from vllm_omni.platforms.npu.models.minimax_h3 import (
+        _forward_minimax_h3_qwen3vl_text_mlp_npu,
+    )
+
+    x = torch.randn(1, 16, 128, device="npu", dtype=torch.bfloat16)
+    packed = torch.randn(1, 16, 256, device="npu", dtype=torch.bfloat16)
+    activated = torch.randn(1, 16, 128, device="npu", dtype=torch.bfloat16)
+    gate_up_proj = mocker.Mock(return_value=packed)
+    down_proj = mocker.Mock(side_effect=lambda value: value)
+    mlp = mocker.Mock(gate_up_proj=gate_up_proj, down_proj=down_proj)
+    swiglu = mocker.patch.object(minimax_h3, "npu_swiglu_from_packed", return_value=activated)
+
+    output = _forward_minimax_h3_qwen3vl_text_mlp_npu(mlp, x)
+
+    gate_up_proj.assert_called_once()
+    assert gate_up_proj.call_args.args[0] is x
+    swiglu.assert_called_once()
+    assert swiglu.call_args.args[0] is packed
+    down_proj.assert_called_once()
+    assert down_proj.call_args.args[0] is activated
+    assert output is activated