diff --git a/aiserver.py b/aiserver.py
index 8f543865..a0d4d688 100644
--- a/aiserver.py
+++ b/aiserver.py
@@ -1994,7 +1994,7 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
                                         shutil.move(transformers.file_utils.get_from_cache(transformers.file_utils.hf_bucket_url(vars.model, filename, revision=vars.revision), cache_dir="cache", local_files_only=True), os.path.join("models/{}".format(vars.model.replace('/', '_')), filename))
                             shutil.rmtree("cache/")
 
-                if(vars.badwordsids is vars.badwordsids_default and vars.model_type not in ("gpt2", "gpt_neo", "gptj", "xglm")):
+                if(vars.badwordsids is vars.badwordsids_default and vars.model_type not in ("gpt2", "gpt_neo", "gptj")):
                     vars.badwordsids = [[v] for k, v in tokenizer.get_vocab().items() if any(c in k for c in "<>[]")]
 
                 patch_causallm(model)
@@ -2161,7 +2161,7 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
             tpu_mtj_backend.load_model(vars.custmodpth, hf_checkpoint=vars.model not in ("TPUMeshTransformerGPTJ", "TPUMeshTransformerGPTNeoX") and vars.use_colab_tpu, **vars.modelconfig)
             vars.modeldim = int(tpu_mtj_backend.params.get("d_embed", tpu_mtj_backend.params["d_model"]))
             tokenizer = tpu_mtj_backend.tokenizer
-            if(vars.badwordsids is vars.badwordsids_default and vars.model_type not in ("gpt2", "gpt_neo", "gptj", "xglm")):
+            if(vars.badwordsids is vars.badwordsids_default and vars.model_type not in ("gpt2", "gpt_neo", "gptj")):
                 vars.badwordsids = [[str(v)] for k, v in tokenizer.get_vocab().items() if any(c in str(k) for c in "<>[]")]
         else:
             loadsettings()