Fix: dequantize fused_wqa_wkv instead of separate wq_a/wkv

wq_a and wkv are fused into a single MergedColumnParallelLinear
called fused_wqa_wkv. Was checking for non-existent separate attrs.

vllm/patches/deepseek_v4.py

@@ -1712,7 +1712,8 @@ class DeepseekV4Model(nn.Module):
         """
         # All attention projections to dequantize to BF16
         # wo_a is excluded — it uses fp8_einsum (no input_scale, weight-only FP8)
-        bf16_proj_names = {"wq_a", "wq_b", "wkv", "wo_b"}
+        # wq_a and wkv are fused into fused_wqa_wkv
+        bf16_proj_names = {"wq_b", "wo_b", "fused_wqa_wkv"}
         fp8_proj_names = {"wo_a"}
         bf16_converted = 0
         fp8_converted = 0