diff --git a/application/llm/huggingface.py b/application/llm/huggingface.py
index e9cc47be..ef3b1fbc 100644
--- a/application/llm/huggingface.py
+++ b/application/llm/huggingface.py
@@ -2,13 +2,26 @@ from application.llm.base import BaseLLM
 
 class HuggingFaceLLM(BaseLLM):
 
-    def __init__(self, api_key, llm_name='Arc53/DocsGPT-7B'):
+    def __init__(self, api_key, llm_name='Arc53/DocsGPT-7B',q=False):
         global hf
-
+        
         from langchain.llms import HuggingFacePipeline
-        from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
-        tokenizer = AutoTokenizer.from_pretrained(llm_name)
-        model = AutoModelForCausalLM.from_pretrained(llm_name)
+        if q:
+            import torch
+            from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, BitsAndBytesConfig
+            tokenizer = AutoTokenizer.from_pretrained(llm_name)
+            bnb_config = BitsAndBytesConfig(
+                            load_in_4bit=True,
+                            bnb_4bit_use_double_quant=True,
+                            bnb_4bit_quant_type="nf4",
+                            bnb_4bit_compute_dtype=torch.bfloat16
+                        )
+            model = AutoModelForCausalLM.from_pretrained(llm_name,quantization_config=bnb_config)
+        else:
+            from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+            tokenizer = AutoTokenizer.from_pretrained(llm_name)
+            model = AutoModelForCausalLM.from_pretrained(llm_name)
+        
         pipe = pipeline(
             "text-generation", model=model,
             tokenizer=tokenizer, max_new_tokens=2000,