diff --git a/poc/accelerate.ipynb b/poc/accelerate.ipynb
index b33ad3c..b283162 100644
--- a/poc/accelerate.ipynb
+++ b/poc/accelerate.ipynb
@@ -1556,16 +1556,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "The `load_in_4bit` and `load_in_8bit` arguments are deprecated and will be removed in the future versions. Please, pass a `BitsAndBytesConfig` object in `quantization_config` argument instead.\n",
+      "`low_cpu_mem_usage` was None, now set to True since model is quantized.\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Collecting garbage...\n",
       "The current device is 0\n",
-      "GPU 0: 44.09 GB free, 44.35 GB total\n",
+      "GPU 0: 35.48 GB free, 44.35 GB total\n",
       "GPU 1: 44.09 GB free, 44.35 GB total\n",
       "GPU 2: 44.09 GB free, 44.35 GB total\n",
       "GPU 3: 44.09 GB free, 44.35 GB total\n",
@@ -1576,9 +1584,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "The `load_in_4bit` and `load_in_8bit` arguments are deprecated and will be removed in the future versions. Please, pass a `BitsAndBytesConfig` object in `quantization_config` argument instead.\n",
-      "`low_cpu_mem_usage` was None, now set to True since model is quantized.\n",
-      "Loading checkpoint shards: 100%|██████████| 4/4 [00:50<00:00, 12.56s/it]\n"
+      "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00,  1.33s/it]\n"
      ]
     },
     {
@@ -1586,7 +1592,7 @@
      "output_type": "stream",
      "text": [
       "The current device is 0\n",
-      "GPU 0: 35.54 GB free, 44.35 GB total\n",
+      "GPU 0: 27.05 GB free, 44.35 GB total\n",
       "GPU 1: 44.09 GB free, 44.35 GB total\n",
       "GPU 2: 44.09 GB free, 44.35 GB total\n",
       "GPU 3: 44.09 GB free, 44.35 GB total\n",
@@ -1597,7 +1603,7 @@
    "source": [
     "garbage_collect()\n",
     "print_gpu_memory()\n",
-    "model = AutoModelForCausalLM.from_pretrained(\"meta-llama/Meta-Llama-3.1-8B-Instruct\", cache_dir=\"/workspace/hf_cache\", load_in_8bit=True)\n",
+    "model = AutoModelForCausalLM.from_pretrained(\"meta-llama/Meta-Llama-3.1-8B-Instruct\", cache_dir=\"/workspace/hf_cache\", torch_dtype=torch.float16, load_in_8bit=True)\n",
     "print_gpu_memory()"
    ]
   }