diff --git a/examples/example_llama3.py b/examples/example_llama3.py
index eeff9ffb..df57751f 100644
--- a/examples/example_llama3.py
+++ b/examples/example_llama3.py
@@ -42,18 +42,36 @@
 use_vocab_parallel = not use_1d_mesh
 device = torch.device("cuda")
 
+model_type = "8b"
+
 
 def model_fn():
-    model_args = TransformerModelArgs(
-        dim=4096,
-        n_heads=32,
-        n_layers=32,
-        vocab_size=vocab_size,
-        max_seq_len=seqlen,
-        multiple_of=1024,
-        ffn_dim_multiplier=1.3,
-        n_kv_heads=8,
-    )
+    if model_type == "8b":
+        model_args = TransformerModelArgs(
+            dim=4096,
+            n_layers=32,
+            n_heads=32,
+            n_kv_heads=8,
+            ffn_dim_multiplier=1.3,
+            multiple_of=1024,
+            rope_theta=500000,
+            vocab_size=vocab_size,
+            max_seq_len=seqlen,
+        )
+    elif model_type == "70b":
+        model_args = TransformerModelArgs(
+            dim=8192,
+            n_layers=80,
+            n_heads=64,
+            n_kv_heads=8,
+            ffn_dim_multiplier=1.3,
+            multiple_of=4096,
+            rope_theta=500000,
+            vocab_size=vocab_size,
+            max_seq_len=seqlen,
+        )
+    else:
+        raise ValueError(f"{model_type} not available")
     m = Transformer(model_args)
     return m