[BugFix] Fix quantization for all other methods (#11547)

vllm/model_executor/layers/quantization/fp8.py

@@ -601,14 +601,13 @@ class Fp8MoEMethod(FusedMoEMethodBase):
         router_logits: torch.Tensor,
         top_k: int,
         renormalize: bool,
-        use_grouped_topk: bool,
+        use_grouped_topk: bool = False,
         topk_group: Optional[int] = None,
         num_expert_group: Optional[int] = None,
         custom_routing_function: Optional[Callable] = None,
         scoring_func: str = "softmax",
         e_score_correction_bias: Optional[torch.Tensor] = None,
     ) -> torch.Tensor:
-
         from vllm.model_executor.layers.fused_moe import fused_experts
 
         topk_weights, topk_ids = FusedMoE.select_experts(