diff --git a/2_preference_alignment/notebooks/dpo_finetuning_example.ipynb b/2_preference_alignment/notebooks/dpo_finetuning_example.ipynb
index fc31de0a..be6116ad 100644
--- a/2_preference_alignment/notebooks/dpo_finetuning_example.ipynb
+++ b/2_preference_alignment/notebooks/dpo_finetuning_example.ipynb
@@ -130,7 +130,7 @@
     "# Model to fine-tune\n",
     "model = AutoModelForCausalLM.from_pretrained(\n",
     "    pretrained_model_name_or_path=model_name,\n",
-    "    torch_dtype=torch.float16,\n",
+    "    torch_dtype=torch.float32,\n",
     ").to(device)\n",
     "model.config.use_cache = False\n",
     "tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
@@ -343,7 +343,7 @@
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "py310",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -357,7 +357,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.15"
+   "version": "3.11.10"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/2_preference_alignment/notebooks/orpo_finetuning_example.ipynb b/2_preference_alignment/notebooks/orpo_finetuning_example.ipynb
index 8584b6ba..ac753d58 100644
--- a/2_preference_alignment/notebooks/orpo_finetuning_example.ipynb
+++ b/2_preference_alignment/notebooks/orpo_finetuning_example.ipynb
@@ -58,6 +58,7 @@
     "\n",
     "# Authenticate to Hugging Face\n",
     "from huggingface_hub import login\n",
+    "\n",
     "login()"
    ]
   },
@@ -257,15 +258,13 @@
     "device = (\n",
     "    \"cuda\"\n",
     "    if torch.cuda.is_available()\n",
-    "    else \"mps\"\n",
-    "    if torch.backends.mps.is_available()\n",
-    "    else \"cpu\"\n",
+    "    else \"mps\" if torch.backends.mps.is_available() else \"cpu\"\n",
     ")\n",
     "\n",
     "# Model to fine-tune\n",
     "model = AutoModelForCausalLM.from_pretrained(\n",
     "    pretrained_model_name_or_path=model_name,\n",
-    "    torch_dtype=torch.float16,\n",
+    "    torch_dtype=torch.float32,\n",
     ").to(device)\n",
     "model.config.use_cache = False\n",
     "tokenizer = AutoTokenizer.from_pretrained(model_name)\n",