diff --git a/modeling/inference_models/hf.py b/modeling/inference_models/hf.py
index 7b8f356c..032b8ec3 100644
--- a/modeling/inference_models/hf.py
+++ b/modeling/inference_models/hf.py
@@ -203,7 +203,7 @@ class HFInferenceModel(InferenceModel):
             pass
 
     def _post_load(self) -> None:
-        utils.koboldai_vars.badwordsids = koboldai_settings.badwordsids_default
+        self.badwordsids = koboldai_settings.badwordsids_default
         self.model_type = str(self.model_config.model_type)
         # These are model specific tokenizer overrides if a model has bad defaults
         if self.model_type == "llama":
@@ -305,17 +305,17 @@ class HFInferenceModel(InferenceModel):
 
         # Clean up tokens that cause issues
         if (
-            utils.koboldai_vars.badwordsids == koboldai_settings.badwordsids_default
+            self.badwordsids == koboldai_settings.badwordsids_default
             and self.model_type not in ("gpt2", "gpt_neo", "gptj")
         ):
-            utils.koboldai_vars.badwordsids = [
+            self.badwordsids = [
                 [v]
                 for k, v in self.tokenizer.get_vocab().items()
                 if any(c in str(k) for c in "[]")
             ]
 
             if utils.koboldai_vars.newlinemode == "n":
-                utils.koboldai_vars.badwordsids.append([self.tokenizer.eos_token_id])
+                self.badwordsids.append([self.tokenizer.eos_token_id])
 
         return super()._post_load()