diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md
index 0a2cf7833..d48ae1de5 100644
--- a/docs/docs/configuration/object_detectors.md
+++ b/docs/docs/configuration/object_detectors.md
@@ -894,7 +894,6 @@ model: # required
   width: 320
   height: 320
   input_tensor: nhwc
-  input_dtype: float
   labelmap_path: /labelmap/coco-80.txt
 ```
 
diff --git a/frigate/detectors/plugins/rknn.py b/frigate/detectors/plugins/rknn.py
index 1fdd8b9c0..828507c54 100644
--- a/frigate/detectors/plugins/rknn.py
+++ b/frigate/detectors/plugins/rknn.py
@@ -119,7 +119,7 @@ class Rknn(DetectionApi):
                     model_props["model_type"] = model_type
 
             if model_matched:
-                model_props["filename"] = model_path + f"-{soc}-v2.3.2-1.rknn"
+                model_props["filename"] = model_path + f"-{soc}-v2.3.2-2.rknn"
 
                 model_props["path"] = model_cache_dir + model_props["filename"]
 
@@ -140,26 +140,10 @@ class Rknn(DetectionApi):
             os.mkdir(model_cache_dir)
 
         urllib.request.urlretrieve(
-            f"https://github.com/MarcA711/rknn-models/releases/download/v2.3.2/{filename}",
+            f"https://github.com/MarcA711/rknn-models/releases/download/v2.3.2-2/{filename}",
             model_cache_dir + filename,
         )
 
-    def check_config(self, config):
-        if (config.model.width != 320) or (config.model.height != 320):
-            raise Exception(
-                "Make sure to set the model width and height to 320 in your config."
-            )
-
-        if config.model.input_pixel_format != "bgr":
-            raise Exception(
-                'Make sure to set the model input_pixel_format to "bgr" in your config.'
-            )
-
-        if config.model.input_tensor != "nhwc":
-            raise Exception(
-                'Make sure to set the model input_tensor to "nhwc" in your config.'
-            )
-
     def post_process_yolonas(self, output: list[np.ndarray]):
         """
         @param output: output of inference