diff --git a/examples/mlperf/model_train.py b/examples/mlperf/model_train.py
new file mode 100644
index 0000000000..8db72fc15c
--- /dev/null
+++ b/examples/mlperf/model_train.py
@@ -0,0 +1,37 @@
+from tinygrad.tensor import Tensor
+from tinygrad.helpers import getenv
+
+def train_resnet():
+  # TODO: Resnet50-v1.5
+  pass
+
+def train_retinanet():
+  # TODO: Retinanet
+  pass
+
+def train_unet3d():
+  # TODO: Unet3d
+  pass
+
+def train_rnnt():
+  # TODO: RNN-T
+  pass
+
+def train_bert():
+  # TODO: BERT
+  pass
+
+def train_maskrcnn():
+  # TODO: Mask RCNN
+  pass
+
+if __name__ == "__main__":
+  Tensor.training = True
+
+  for m in getenv("MODEL", "resnet,retinanet,unet3d,rnnt,bert,maskrcnn").split(","):
+    nm = f"train_{m}"
+    if nm in globals():
+      print(f"training {m}")
+      globals()[nm]()
+
+