diff --git a/examples/mlperf/models/flat_llama.py b/examples/mlperf/models/flat_llama.py
index 9c22e75dfc..0e0f8d351c 100644
--- a/examples/mlperf/models/flat_llama.py
+++ b/examples/mlperf/models/flat_llama.py
@@ -328,6 +328,9 @@ if __name__ == "__main__":
     return Tensor.zeros(x.shape, dtype=grad_dtype(x), device=x.device).contiguous()
   grads = {x:_make_grad(x) for x in state.values() if x.requires_grad}
 
+  fp8_amax = [t for ts in model._fp8_amax.values() for t in ts]
+  fp8_grad_amax = [t for ts in model._fp8_grad_amax.values() for t in ts]
+
   # print model size
   sz = 0
   for k,v in state.items():
@@ -349,7 +352,7 @@ if __name__ == "__main__":
     with Timing("python backward: "):
       for t,g in zip(grads, loss.gradient(*grads)):
         apply_grad(grads[t], g.uop)
-    with Timing("run fwd_bwd: "): loss.realize(*grads.values())
+    with Timing("run fwd_bwd: "): loss.realize(*grads.values(), *fp8_amax, *fp8_grad_amax)
 
   @TinyJit
   def optim_step():