diff --git a/modeling/inference_models/hf.py b/modeling/inference_models/hf.py
index b50ebf56..2417bffb 100644
--- a/modeling/inference_models/hf.py
+++ b/modeling/inference_models/hf.py
@@ -199,8 +199,9 @@ class HFInferenceModel(InferenceModel):
             pass
 
     def _post_load(self) -> None:
+        self.model_type = str(self.model_config.model_type)
         # These are model specific tokenizer overrides if a model has bad defaults
-        if utils.koboldai_vars.model_type == "llama":
+        if self.model_type == "llama":
             # Note: self.tokenizer is a GenericTokenizer, and self.tokenizer.tokenizer is the actual LlamaTokenizer
             self.tokenizer.add_bos_token = False
 
@@ -284,23 +285,23 @@ class HFInferenceModel(InferenceModel):
                 return result
             object.__setattr__(self.tokenizer, '__call__', call_wrapper.__get__(self.tokenizer))
 
-        elif utils.koboldai_vars.model_type == "opt":
+        elif self.model_type == "opt":
             self.tokenizer._koboldai_header = self.tokenizer.encode("")
             self.tokenizer.add_bos_token = False
             self.tokenizer.add_prefix_space = False
 
         # Change newline behavior to match model quirks
-        if utils.koboldai_vars.model_type == "xglm":
+        if self.model_type == "xglm":
             # Default to </s> newline mode if using XGLM
             utils.koboldai_vars.newlinemode = "s"
-        elif utils.koboldai_vars.model_type in ["opt", "bloom"]:
+        elif self.model_type in ["opt", "bloom"]:
             # Handle </s> but don't convert newlines if using Fairseq models that have newlines trained in them
             utils.koboldai_vars.newlinemode = "ns"
 
         # Clean up tokens that cause issues
         if (
             utils.koboldai_vars.badwordsids == koboldai_settings.badwordsids_default
-            and utils.koboldai_vars.model_type not in ("gpt2", "gpt_neo", "gptj")
+            and self.model_type not in ("gpt2", "gpt_neo", "gptj")
         ):
             utils.koboldai_vars.badwordsids = [
                 [v]
@@ -357,15 +358,15 @@ class HFInferenceModel(InferenceModel):
                 revision=utils.koboldai_vars.revision,
                 cache_dir="cache",
             )
-            utils.koboldai_vars.model_type = self.model_config.model_type
+            self.model_type = self.model_config.model_type
         except ValueError:
-            utils.koboldai_vars.model_type = {
+            self.model_type = {
                 "NeoCustom": "gpt_neo",
                 "GPT2Custom": "gpt2",
-            }.get(utils.koboldai_vars.model)
+            }.get(self.model)
 
-            if not utils.koboldai_vars.model_type:
+            if not self.model_type:
                 logger.warning(
                     "No model type detected, assuming Neo (If this is a GPT2 model use the other menu option or --model GPT2Custom)"
                 )
-                utils.koboldai_vars.model_type = "gpt_neo"
\ No newline at end of file
+                self.model_type = "gpt_neo"
\ No newline at end of file