diff --git a/README.md b/README.md
index b57402f..1a23ed7 100644
--- a/README.md
+++ b/README.md
@@ -12,8 +12,7 @@ pip install -r requirements.txt
 ## usage
 
 ```
-usage: run.py [-h] (--dir DIR | --file FILE) [--threshold THRESHOLD] [--ext EXT] [--overwrite] [--cpu] [--rawtag] [--recursive] [--exclude-tag t1,t2,t3]
-              [--model {wd14-vit.v1,wd14-vit.v2,wd14-convnext.v1,wd14-convnext.v2,wd14-convnextv2.v1,wd14-swinv2-v1,wd-v1-4-moat-tagger.v2,wd-v1-4-vit-tagger.v3,wd-v1-4-convnext-tagger.v3,wd-v1-4-swinv2-tagger.v3,mld-caformer.dec-5-97527,mld-tresnetd.6-30000}]
+usage: run.py [-h] (--dir DIR | --file FILE) [--threshold THRESHOLD] [--ext EXT] [--overwrite] [--cpu] [--rawtag] [--recursive] [--exclude-tag t1,t2,t3] [--model MODELNAME]
 
 options:
   -h, --help            show this help message and exit
@@ -28,8 +27,7 @@ options:
   --recursive           Enable recursive file search
   --exclude-tag t1,t2,t3
                         Specify tags to exclude (Need comma-separated list)
-  --model {wd14-vit.v1,wd14-vit.v2,wd14-convnext.v1,wd14-convnext.v2,wd14-convnextv2.v1,wd14-swinv2-v1,wd-v1-4-moat-tagger.v2,wd-v1-4-vit-tagger.v3,wd-v1-4-convnext-tagger.v3,wd-v1-4-swinv2-tagger.v3,mld-caformer.dec-5-97527,mld-tresnetd.6-30000}
-                        modelname to use for prediction (default is wd14-convnextv2.v1)
+  --model MODELNAME     modelname to use for prediction (default is wd14-convnextv2.v1)
 ```
 
 single file
@@ -47,33 +45,36 @@ python run.py --dir dir/dir
 ## Support Models
 
 ```
+# Camie Tagger (released 2025)
+python run.py --model camie-tagger --file image.jpg
+
 # SmilingWolf large model. (released 2024)
-python run.py --file image.jpg --model wd-vit-large-tagger-v3
-python run.py --file image.jpg --model wd-eva02-large-tagger-v3
+python run.py --model wd-vit-large-tagger-v3 --file image.jpg
+python run.py --model wd-eva02-large-tagger-v3 --file image.jpg
 
 # SmilingWolf v3 model. (released 2024)
-python run.py --file image.jpg --model wd-v1-4-vit-tagger.v3
-python run.py --file image.jpg --model wd-v1-4-convnext-tagger.v3
-python run.py --file image.jpg --model wd-v1-4-swinv2-tagger.v3
+python run.py --model wd-v1-4-vit-tagger.v3 --file image.jpg
+python run.py --model wd-v1-4-convnext-tagger.v3 --file image.jpg
+python run.py --model wd-v1-4-swinv2-tagger.v3 --file image.jpg
 
 # SmilingWolf v2 model. (released 2023)
-python run.py --file image.jpg --model wd-v1-4-moat-tagger.v2
-python run.py --file image.jpg --model wd14-vit.v2
-python run.py --file image.jpg --model wd14-convnext.v2
+python run.py --model wd-v1-4-moat-tagger.v2  --file image.jpg
+python run.py --model wd14-vit.v2  --file image.jpg
+python run.py --model wd14-convnext.v2  --file image.jpg
 
 # SmilingWolf v1 model. (released 2022)
-python run.py --file image.jpg --model wd14-vit.v1
-python run.py --file image.jpg --model wd14-convnext.v1
-python run.py --file image.jpg --model wd14-convnextv2.v1
-python run.py --file image.jpg --model wd14-swinv2-v1
+python run.py --model wd14-vit.v1 --file image.jpg
+python run.py --model wd14-convnext.v1 --file image.jpg
+python run.py --model wd14-convnextv2.v1 --file image.jpg
+python run.py --model wd14-swinv2-v1 --file image.jpg
 
 # Z3D-E621-Convnext
-python run.py --file image.jpg --model z3d-e621-convnext-toynya
-python run.py --file image.jpg --model z3d-e621-convnext-silveroxides
+python run.py --model z3d-e621-convnext-toynya --file image.jpg
+python run.py --model z3d-e621-convnext-silveroxides --file image.jpg
 
 # kiriyamaX model.
-python run.py --file image.jpg --model mld-caformer.dec-5-97527
-python run.py --file image.jpg --model mld-tresnetd.6-30000
+python run.py --model mld-caformer.dec-5-97527 --file image.jpg
+python run.py --model mld-tresnetd.6-30000 --file image.jpg
 ```
 
 ## Using GPU
diff --git a/run.py b/run.py
index a0a1818..1cc9026 100644
--- a/run.py
+++ b/run.py
@@ -48,7 +48,7 @@ parser.add_argument(
 parser.add_argument(
     '--model',
     default='wd14-convnextv2.v1',
-    choices=list(interrogators.keys()),
+    metavar='MODELNAME',
     help='modelname to use for prediction (default is wd14-convnextv2.v1)')
 args = parser.parse_args()