diff --git a/csrc/libtorch_stable/quantization/hadamard/hadacore/hadamard_transform_cuda.cu b/csrc/libtorch_stable/quantization/hadamard/hadacore/hadamard_transform_cuda.cu
index 665585caa4..a5d199db27 100644
--- a/csrc/libtorch_stable/quantization/hadamard/hadacore/hadamard_transform_cuda.cu
+++ b/csrc/libtorch_stable/quantization/hadamard/hadacore/hadamard_transform_cuda.cu
@@ -796,7 +796,7 @@ torch::stable::Tensor hadacore_transform(torch::stable::Tensor& x, bool inplace)
 
     VLLM_STABLE_DISPATCH_HALF_TYPES(x.scalar_type(), "hadacore_transform_runfht", [&] {
       auto constexpr SCALAR_TYPE = torch::headeronly::CppTypeToScalarType<scalar_t>::value;
-      hadacore::run_fht<SCALAR_TYPE>(x.data_ptr(), x.data_ptr(), x.numel(), had_size, stream);
+      hadacore::run_fht<SCALAR_TYPE>(x.data_ptr(), out.data_ptr(), x.numel(), had_size, stream);
     });
 
     if (numel % 256 != 0) {
diff --git a/vllm/model_executor/layers/quantization/compressed_tensors/transform/module.py b/vllm/model_executor/layers/quantization/compressed_tensors/transform/module.py
index ae8f143a61..8552eeb652 100644
--- a/vllm/model_executor/layers/quantization/compressed_tensors/transform/module.py
+++ b/vllm/model_executor/layers/quantization/compressed_tensors/transform/module.py
@@ -95,13 +95,13 @@ class HadamardTransform(torch.nn.Module):
             if self.transforms[part_id].scheme.head_dim is not None:
                 weight_size = self.transforms[part_id].scheme.head_dim
                 value = value.unflatten(-1, (-1, weight_size))
-                value = ops.hadacore_transform(value)
+                value = ops.hadacore_transform(value, inplace=False)
                 value = value.flatten(-2, -1)
 
                 return value
 
             # sylvester transforms are symmetric, inv => transpose => original
-            return ops.hadacore_transform(value)
+            return ops.hadacore_transform(value, inplace=False)
 
         # fall back to dense
         else: