diff --git a/src/llmcompressor/entrypoints/model_free/helpers.py b/src/llmcompressor/entrypoints/model_free/helpers.py
index e98fdd0d1b..ef45f09346 100644
--- a/src/llmcompressor/entrypoints/model_free/helpers.py
+++ b/src/llmcompressor/entrypoints/model_free/helpers.py
@@ -33,8 +33,13 @@ def gpu_if_available(device: torch.device | str | None) -> torch.device:
     elif hasattr(torch, "xpu") and torch.xpu.is_available():
         return torch.device("xpu:0")
 
+    elif hasattr(torch, "npu") and torch.npu.is_available():
+        return torch.device("npu:0")
+
     else:
-        logger.warning("CUDA/XPU is not available! Compressing model on CPU instead")
+        logger.warning(
+            "CUDA/XPU/NPU is not available! Compressing model on CPU instead"
+        )
         return torch.device("cpu")
 
 
diff --git a/src/llmcompressor/pipelines/sequential/helpers.py b/src/llmcompressor/pipelines/sequential/helpers.py
index cb6d0a3f21..9bfc3bcd99 100644
--- a/src/llmcompressor/pipelines/sequential/helpers.py
+++ b/src/llmcompressor/pipelines/sequential/helpers.py
@@ -543,8 +543,12 @@ def dispatch_for_sequential(model: PreTrainedModel) -> PreTrainedModel:
         offloaded_dispatch(model, execution_device=torch.device("cuda:0"))
     elif hasattr(torch, "xpu") and torch.xpu.is_available():
         offloaded_dispatch(model, execution_device=torch.device("xpu:0"))
+    elif hasattr(torch, "npu") and torch.npu.is_available():
+        offloaded_dispatch(model, execution_device=torch.device("npu:0"))
     else:
-        logger.warning("CUDA/XPU is not available! Compressing model on CPU instead")
+        logger.warning(
+            "CUDA/XPU/NPU is not available! Compressing model on CPU instead"
+        )
 
     return model
 
diff --git a/tools/collect_env.py b/tools/collect_env.py
index b1762c6219..62a100ce3d 100644
--- a/tools/collect_env.py
+++ b/tools/collect_env.py
@@ -21,6 +21,7 @@ def get_torch_hardware_info():
 
         cuda_devices = []
         amd_devices = []
+        npu_devices = []
         if torch.cuda.is_available():
             for i in range(torch.cuda.device_count()):
                 name = torch.cuda.get_device_name(i)
@@ -28,13 +29,17 @@ def get_torch_hardware_info():
                     amd_devices.append(name)
                 else:
                     cuda_devices.append(name)
-        return cuda_devices, amd_devices
+        if hasattr(torch, "npu") and torch.npu.is_available():
+            for i in range(torch.npu.device_count()):
+                name = torch.npu.get_device_name(i)
+                npu_devices.append(name)
+        return cuda_devices, amd_devices, npu_devices
     except ImportError:
-        return [], []
+        return [], [], []
 
 
 def collect_environment_info():
-    cuda_devices, amd_devices = get_torch_hardware_info()
+    cuda_devices, amd_devices, npu_devices = get_torch_hardware_info()
 
     info = {
         "Operating System": platform.platform(),
@@ -45,6 +50,7 @@ def collect_environment_info():
         "torch Version": get_version("torch"),
         "CUDA Devices": cuda_devices if cuda_devices else "None",
         "AMD Devices": amd_devices if amd_devices else "None",
+        "NPU Devices": npu_devices if npu_devices else "None",
     }
 
     print("### Environment Information ###")