diff --git a/ch07/01_main-chapter-code/ch07.ipynb b/ch07/01_main-chapter-code/ch07.ipynb
index fc6383ff..2af47bcf 100644
--- a/ch07/01_main-chapter-code/ch07.ipynb
+++ b/ch07/01_main-chapter-code/ch07.ipynb
@@ -48,10 +48,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "matplotlib version: 3.7.1\n",
-      "tiktoken version: 0.7.0\n",
-      "torch version: 2.3.0+cu121\n",
-      "tqdm version: 4.66.4\n",
+      "matplotlib version: 3.9.0\n",
+      "tiktoken version: 0.5.1\n",
+      "torch version: 2.2.2\n",
+      "tqdm version: 4.66.2\n",
       "tensorflow version: 2.15.0\n"
      ]
     }
@@ -174,7 +174,7 @@
     "\n",
     "    if not os.path.exists(file_path):\n",
     "        with urllib.request.urlopen(url) as response:\n",
-    "            text_data = response.read().decode('utf-8')\n",
+    "            text_data = response.read().decode(\"utf-8\")\n",
     "        with open(file_path, \"w\", encoding=\"utf-8\") as file:\n",
     "            file.write(text_data)\n",
     "    else:\n",
@@ -221,13 +221,12 @@
      "output_type": "stream",
      "text": [
       "Example entry:\n",
-      "\n",
       " {'instruction': 'Identify the correct spelling of the following word.', 'input': 'Ocassion', 'output': \"The correct spelling is 'Occasion.'\"}\n"
      ]
     }
    ],
    "source": [
-    "print(\"Example entry:\\n\\n\", data[50])"
+    "print(\"Example entry:\\n\", data[50])"
    ]
   },
   {
@@ -257,13 +256,12 @@
      "output_type": "stream",
      "text": [
       "Another example entry:\n",
-      "\n",
       " {'instruction': \"What is an antonym of 'complicated'?\", 'input': '', 'output': \"An antonym of 'complicated' is 'simple'.\"}\n"
      ]
     }
    ],
    "source": [
-    "print(\"Another example entry:\\n\\n\", data[999])"
+    "print(\"Another example entry:\\n\", data[999])"
    ]
   },
   {
@@ -511,20 +509,6 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "K6MWf0lhu8GP",
-   "metadata": {
-    "id": "K6MWf0lhu8GP"
-   },
-   "outputs": [],
-   "source": [
-    "import tiktoken\n",
-    "\n",
-    "tokenizer = tiktoken.get_encoding(\"gpt2\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
    "id": "adc29dc4-f1c7-4c71-937b-95119d6239bb",
    "metadata": {
     "id": "adc29dc4-f1c7-4c71-937b-95119d6239bb"
@@ -569,7 +553,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "ff24fe1a-5746-461c-ad3d-b6d84a1a7c96",
    "metadata": {
     "colab": {
@@ -588,6 +572,9 @@
     }
    ],
    "source": [
+    "import tiktoken\n",
+    "tokenizer = tiktoken.get_encoding(\"gpt2\")\n",
+    "\n",
     "print(tokenizer.encode(\"<|endoftext|>\", allowed_special={\"<|endoftext|>\"}))"
    ]
   },