diff --git a/aiserver.py b/aiserver.py
index 53fb5b87..28b32859 100644
--- a/aiserver.py
+++ b/aiserver.py
@@ -1384,29 +1384,38 @@ if(not vars.use_colab_tpu and vars.model not in ["InferKit", "Colab", "OAI", "Go
                 if(os.path.isdir(vars.custmodpth)):
                     try:
                         tokenizer = AutoTokenizer.from_pretrained(vars.custmodpth, cache_dir="cache")
-                    except ValueError as e:
-                        tokenizer = GPT2TokenizerFast.from_pretrained(vars.custmodpth, cache_dir="cache")
+                    except Exception as e:
+                        try:
+                            tokenizer = GPT2TokenizerFast.from_pretrained(vars.custmodpth, cache_dir="cache")
+                        except Exception as e:
+                            tokenizer = GPT2TokenizerFast.from_pretrained("gpt2", cache_dir="cache")
                     try:
                         model     = AutoModelForCausalLM.from_pretrained(vars.custmodpth, cache_dir="cache", **lowmem)
-                    except ValueError as e:
+                    except Exception as e:
                         model     = GPTNeoForCausalLM.from_pretrained(vars.custmodpth, cache_dir="cache", **lowmem)
                 elif(os.path.isdir("models/{}".format(vars.model.replace('/', '_')))):
                     try:
                         tokenizer = AutoTokenizer.from_pretrained("models/{}".format(vars.model.replace('/', '_')), cache_dir="cache")
-                    except ValueError as e:
-                        tokenizer = GPT2TokenizerFast.from_pretrained("models/{}".format(vars.model.replace('/', '_')), cache_dir="cache")
+                    except Exception as e:
+                        try:
+                            tokenizer = GPT2TokenizerFast.from_pretrained("models/{}".format(vars.model.replace('/', '_')), cache_dir="cache")
+                        except Exception as e:
+                            tokenizer = GPT2TokenizerFast.from_pretrained("gpt2", cache_dir="cache")
                     try:
                         model     = AutoModelForCausalLM.from_pretrained("models/{}".format(vars.model.replace('/', '_')), cache_dir="cache", **lowmem)
-                    except ValueError as e:
+                    except Exception as e:
                         model     = GPTNeoForCausalLM.from_pretrained("models/{}".format(vars.model.replace('/', '_')), cache_dir="cache", **lowmem)
                 else:
                     try:
                         tokenizer = AutoTokenizer.from_pretrained(vars.model, cache_dir="cache")
-                    except ValueError as e:
-                        tokenizer = GPT2TokenizerFast.from_pretrained(vars.model, cache_dir="cache")
+                    except Exception as e:
+                        try:
+                            tokenizer = GPT2TokenizerFast.from_pretrained(vars.model, cache_dir="cache")
+                        except Exception as e:
+                            tokenizer = GPT2TokenizerFast.from_pretrained("gpt2", cache_dir="cache")
                     try:
                         model     = AutoModelForCausalLM.from_pretrained(vars.model, cache_dir="cache", **lowmem)
-                    except ValueError as e:
+                    except Exception as e:
                         model     = GPTNeoForCausalLM.from_pretrained(vars.model, cache_dir="cache", **lowmem)
 
                     if not args.colab: