[bugfix] fix pipeline parallel for mla & sfa attention backend (#3459)

### What this PR does / why we need it?
Fix pipeline parallel break for mla & sfa attention backend caused by a
magic number in metadata builder. The error report:
`AttributeError: 'PPMissingLayer' object has no attribute 'self_attn'`

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

### How was this patch tested?
This PR was tested with "mp" backend (PP2TP8 on an A3 node) as well as
"ray" backend (PP2TP8 on two A2 nodes).

- vLLM version: v0.11.0rc3
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0

---------

Signed-off-by: linfeng-yuan <1102311262@qq.com>

tests/e2e/multicard/test_pipeline_parallel.py

@@ -20,6 +20,7 @@ from tests.e2e.conftest import VllmRunner
 
 MODELS = [
     "Qwen/Qwen3-0.6B",
+    "deepseek-ai/DeepSeek-V2-Lite-Chat",
 ]
 
 TENSOR_PARALLELS = [1]