Update app.py

app.py

@@ -16,14 +16,8 @@ adapters_name = 'timdettmers/guanaco-7b'
 # print(f"Starting to load the model {model_name} into memory")
 m = AutoModelForCausalLM.from_pretrained(
     model_name,
-    torch_dtype=torch.bfloat16,
-    quantization_config=BitsAndBytesConfig(
-        load_in_4bit=True,
-        bnb_4bit_compute_dtype=torch.bfloat16,
-        bnb_4bit_use_double_quant=True,
-        bnb_4bit_quant_type='nf4'
-    ),
-)
+    torch_dtype=torch.bfloat16)    
+
 m = PeftModel.from_pretrained(m, adapters_name)
 m = m.merge_and_unload()
 tok = LlamaTokenizer.from_pretrained(model_name)