diff --git a/ch07/04_preference-tuning-with-dpo/dpo-from-scratch.ipynb b/ch07/04_preference-tuning-with-dpo/dpo-from-scratch.ipynb
index ce328e64..c2c5d9e7 100644
--- a/ch07/04_preference-tuning-with-dpo/dpo-from-scratch.ipynb
+++ b/ch07/04_preference-tuning-with-dpo/dpo-from-scratch.ipynb
@@ -2149,16 +2149,18 @@
     "        labels=batch[\"rejected\"],\n",
     "        selection_mask=batch[\"rejected_mask\"]\n",
     "    )\n",
-    "    ref_chosen_log_probas = compute_logprobs(\n",
-    "        logits=reference_model(batch[\"chosen\"]),\n",
-    "        labels=batch[\"chosen\"],\n",
-    "        selection_mask=batch[\"chosen_mask\"]\n",
-    "    )\n",
-    "    ref_rejected_log_probas = compute_logprobs(\n",
-    "        logits=reference_model(batch[\"rejected\"]),\n",
-    "        labels=batch[\"rejected\"],\n",
-    "        selection_mask=batch[\"rejected_mask\"]\n",
-    "    )\n",
+    "    \n",
+    "    with torch.no_grad():\n",
+    "        ref_chosen_log_probas = compute_logprobs(\n",
+    "            logits=reference_model(batch[\"chosen\"]),\n",
+    "            labels=batch[\"chosen\"],\n",
+    "            selection_mask=batch[\"chosen_mask\"]\n",
+    "        )\n",
+    "        ref_rejected_log_probas = compute_logprobs(\n",
+    "            logits=reference_model(batch[\"rejected\"]),\n",
+    "            labels=batch[\"rejected\"],\n",
+    "            selection_mask=batch[\"rejected_mask\"]\n",
+    "        )\n",
     "    loss, chosen_rewards, rejected_rewards = compute_dpo_loss(\n",
     "        model_chosen_logprobs=policy_chosen_log_probas,\n",
     "        model_rejected_logprobs=policy_rejected_log_probas,\n",
@@ -3090,7 +3092,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.10.6"
   }
  },
  "nbformat": 4,