From 60ae80cf28608fed6b2eaf128abd397770384dd2 Mon Sep 17 00:00:00 2001
From: Forkoz <59298527+Ph0rk0z@users.noreply.github.com>
Date: Sun, 28 May 2023 21:10:10 -0500
Subject: [PATCH] Fix hang in tokenizer for AutoGPTQ llama models. (#2399)

---
 modules/models.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/models.py b/modules/models.py
index b87d3cd..2ec2a57 100644
--- a/modules/models.py
+++ b/modules/models.py
@@ -114,7 +114,7 @@ def load_tokenizer(model_name, model):
     tokenizer = None
     if shared.model_type == 'gpt4chan' and Path(f"{shared.args.model_dir}/gpt-j-6B/").exists():
         tokenizer = AutoTokenizer.from_pretrained(Path(f"{shared.args.model_dir}/gpt-j-6B/"))
-    elif type(model) is transformers.LlamaForCausalLM:
+    elif type(model) is transformers.LlamaForCausalLM or "LlamaGPTQForCausalLM" in str(type(model)):
         # Try to load an universal LLaMA tokenizer
         if shared.model_type not in ['llava', 'oasst']:
             for p in [Path(f"{shared.args.model_dir}/llama-tokenizer/"), Path(f"{shared.args.model_dir}/oobabooga_llama-tokenizer/")]: