Add typo checker in pre-commit (#6179)

Co-authored-by: Brayden Zhong <b8zhong@uwaterloo.ca>

python/sglang/srt/layers/moe/ep_moe/kernels.py

@@ -116,7 +116,7 @@ def deepep_run_moe_deep_preprocess(topk_ids: torch.Tensor, num_experts: int):
     seg_indptr = torch.empty(num_experts + 1, device=topk_ids.device, dtype=torch.int64)
     src2dst = torch.empty(topk_ids.numel(), device=topk_ids.device, dtype=torch.int64)
 
-    # Find offet
+    # Find offset
     expert_ids = torch.arange(
         num_experts + 1, device=topk_ids.device, dtype=reorder_topk_ids.dtype
     )

python/sglang/srt/layers/moe/ep_moe/layer.py

@@ -611,7 +611,7 @@ class Fp8EPMoEMethod(Fp8MoEMethod):
                 self.quant_config.weight_block_size[1],
             )
             # NOTE(HandH1998): To ensure proper alignment of the block-wise quantization scales, the output_size of the weights for both the gate and up layers must be divisible by block_n.
-            # Required by collum parallel or enabling merged weights
+            # Required by column parallel or enabling merged weights
             if intermediate_size % block_n != 0:
                 raise ValueError(
                     f"The output_size of gate's and up's weight = "

python/sglang/srt/layers/moe/fused_moe_triton/fused_moe.py

@@ -994,7 +994,7 @@ def get_default_config(
                     "num_stages": 2 if _is_hip else 4,
                 }
         else:
-            # Block-wise quant: BLOCK_SIZE_K must be divisable by block_shape[1]
+            # Block-wise quant: BLOCK_SIZE_K must be divisible by block_shape[1]
             config = {
                 "BLOCK_SIZE_M": 64,
                 "BLOCK_SIZE_N": block_shape[0],

python/sglang/srt/layers/moe/topk.py

@@ -270,7 +270,7 @@ def select_experts(
     routed_scaling_factor: Optional[float] = None,
 ):
     n_share_experts_fusion = global_server_args_dict["n_share_experts_fusion"]
-    # DeekSeek V2/V3/R1 serices models uses grouped_top_k
+    # DeepSeek V2/V3/R1 series models use grouped_top_k
     if use_grouped_topk:
         assert topk_group is not None
         assert num_expert_group is not None