diff --git a/aiserver.py b/aiserver.py
index 09a465ae..c3e00602 100644
--- a/aiserver.py
+++ b/aiserver.py
@@ -890,11 +890,11 @@ if(not vars.model in ["InferKit", "Colab", "OAI", "ReadOnly", "TPUMeshTransforme
                 print("Model does not exist locally, attempting to download from Huggingface...")
                 tokenizer = GPT2TokenizerFast.from_pretrained(vars.model, cache_dir="cache/")
                 with(maybe_use_float16()):
-                    tokenizer = GPT2TokenizerFast.from_pretrained(vars.model.replace('/', '_'), cache_dir="cache/")
+                    tokenizer = GPT2TokenizerFast.from_pretrained(vars.model, cache_dir="cache/")
                     try:
-                        model     = AutoModelForCausalLM.from_pretrained(vars.model.replace('/', '_'), cache_dir="cache/", **maybe_low_cpu_mem_usage())
+                        model     = AutoModelForCausalLM.from_pretrained(vars.model, cache_dir="cache/", **maybe_low_cpu_mem_usage())
                     except ValueError as e:
-                        model     = GPTNeoForCausalLM.from_pretrained(vars.model.replace('/', '_'), cache_dir="cache/", **maybe_low_cpu_mem_usage())
+                        model     = GPTNeoForCausalLM.from_pretrained(vars.model, cache_dir="cache/", **maybe_low_cpu_mem_usage())
                 model = model.half()
                 import shutil
                 shutil.rmtree("cache/")