fix some typos (#24071)

Signed-off-by: co63oc <co63oc@users.noreply.github.com>

vllm/model_executor/layers/quantization/compressed_tensors/transform/module.py

@@ -83,7 +83,7 @@ class HadamardTransform(torch.nn.Module):
             # do not fold into weight in order to utilize FWHT
             self.scales[part_id] = 1 / math.sqrt(data.size(0))
 
-            # FUTURE: avoid runtime tranpose by processing weights
+            # FUTURE: avoid runtime transpose by processing weights
             # prior to apply
 
     def forward(self, value: Tensor, part_id: int = 0) -> Tensor:

vllm/model_executor/layers/quantization/mxfp4.py

@@ -310,7 +310,7 @@ class Mxfp4MoEMethod(FusedMoEMethodBase):
             w13_bias = layer.w13_bias.data.to(torch.float32)
             w2_bias = layer.w2_bias.data.to(torch.float32)
 
-            # Swap w1 and w3 as the defenition of
+            # Swap w1 and w3 as the definition of
             # swiglu is different in the trtllm-gen
             def swap_every_two_rows(x, axis=-1):
                 shape = x.shape