diff --git a/evodiff/conditional_generation.py b/evodiff/conditional_generation.py
index 6931823..a7bcba2 100644
--- a/evodiff/conditional_generation.py
+++ b/evodiff/conditional_generation.py
@@ -73,8 +73,7 @@ def main():
     elif args.model_type == 'lr_ar_640M':
         checkpoint = LR_AR_640M()
     else:
-        print("Please select valid model, if you want to generate a random baseline add --random-baseline flag to any"
-              " model")
+        raise Exception("Please select either oa_dm_38M, oa_dm_640M, carp_640M, lr_ar_38M, or lr_ar_640M. You selected: ", args.model_type, ". If you want to generate a random baseline, add the --random-baseline flag to any model.")
 
     model, collater, tokenizer, scheme = checkpoint
     model.eval().cuda()
diff --git a/evodiff/conditional_generation_msa.py b/evodiff/conditional_generation_msa.py
index 4f29c7f..39911da 100644
--- a/evodiff/conditional_generation_msa.py
+++ b/evodiff/conditional_generation_msa.py
@@ -72,7 +72,7 @@ def main():
         mask_id = checkpoint[2].mask_idx
         pad_id = checkpoint[2].padding_idx
     else:
-        raise Exception("Please select either msa_or_ar_randsub, msa_oa_oar_maxsub, or esm_msa_1b baseline. You selected:", args.model_type)
+        raise Exception("Please select either msa_oa_dm_randsub, msa_oa_dm_maxsub, or esm_msa_1b baseline. You selected:", args.model_type)
 
     model, collater, tokenizer, scheme = checkpoint
     model.eval().cuda()
diff --git a/evodiff/generate.py b/evodiff/generate.py
index 96dee7e..306061f 100644
--- a/evodiff/generate.py
+++ b/evodiff/generate.py
@@ -21,9 +21,9 @@ def main():
     _ = torch.manual_seed(0)
     np.random.seed(0)
     parser = argparse.ArgumentParser()
-    parser.add_argument('--model-type', type=str, default='oa_ar_640M',
-                        help='Choice of: carp_38M carp_640M esm1b_640M \
-                                 oa_ar_38M oa_ar_640M')
+    parser.add_argument('--model-type', type=str, default='oa_dm_640M',
+                        help='Choice of: carp_38M carp_640M esm1b_650M \
+                                 oa_dm_38M oa_dm_640M lr_ar_38M lr_ar_640M d3pm_blosum_38M d3pm_blosum_640M d3pm_uniform_38M d3pm_uniform_640M')
     parser.add_argument('-g', '--gpus', default=1, type=int,
                         help='number of gpus per node')
     #parser.add_argument('out_fpath', type=str, nargs='?', default=os.getenv('PT_OUTPUT_DIR', '/tmp') + '/')
@@ -47,9 +47,9 @@ def main():
         checkpoint = CARP_38M()
     elif args.model_type=='carp_640M':
         checkpoint = CARP_640M()
-    elif args.model_type=='oa_ar_38M':
+    elif args.model_type=='oa_dm_38M':
         checkpoint = OA_DM_38M()
-    elif args.model_type=='oa_ar_640M':
+    elif args.model_type=='oa_dm_640M':
         checkpoint = OA_DM_640M()
     elif args.model_type=='lr_ar_38M':
         checkpoint = LR_AR_38M()
@@ -68,7 +68,7 @@ def main():
         checkpoint = D3PM_UNIFORM_640M(return_all=True)
         d3pm=True
     else:
-        print("Please select valid model")
+        raise Exception("Please select either carp_38M, carp_640M, esm1b_650M, oa_dm_38M, oa_dm_640M, lr_ar_38M, lr_ar_640M, d3pm_blosum_38M, d3pm_blosum_640M, d3pm_uniform_38M, or d3pm_uniform_640M. You selected:", args.model_type)
 
     if d3pm:
         model, collater, tokenizer, scheme, timestep, Q_bar, Q = checkpoint