diff --git a/LLaVA_13b_8bit_colab.ipynb b/LLaVA_13b_8bit_colab.ipynb
index 7d01b41..7eedae3 100644
--- a/LLaVA_13b_8bit_colab.ipynb
+++ b/LLaVA_13b_8bit_colab.ipynb
@@ -79,13 +79,26 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "from transformers import AutoTokenizer\n",
+        "from transformers import AutoTokenizer, BitsAndBytesConfig\n",
         "from llava.model import LlavaLlamaForCausalLM\n",
         "import torch\n",
         "\n",
-        "model_path = \"4bit/llava-v1.5-13b-4GB-8bit\"\n",
+        "model_path = \"4bit/llava-v1.5-13b-5GB\"\n",
         "tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)\n",
-        "model = LlavaLlamaForCausalLM.from_pretrained(model_path)"
+        "\n",
+        "# model_path = \"4bit/llava-v1.5-13b-4GB-8bit\"\n",
+        "# model = LlavaLlamaForCausalLM.from_pretrained(model_path)\n",
+        "# model = LlavaLlamaForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, load_in_8bit=True, device_map=\"auto\")\n",
+        "\n",
+        "kwargs = {\"device_map\": \"auto\"}\n",
+        "kwargs['load_in_4bit'] = True\n",
+        "kwargs['quantization_config'] = BitsAndBytesConfig(\n",
+        "    load_in_4bit=True,\n",
+        "    bnb_4bit_compute_dtype=torch.float16,\n",
+        "    bnb_4bit_use_double_quant=True,\n",
+        "    bnb_4bit_quant_type='nf4'\n",
+        ")\n",
+        "model = LlavaLlamaForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, **kwargs)"
       ]
     },
     {