diff --git a/ch05/01_main-chapter-code/ch05.ipynb b/ch05/01_main-chapter-code/ch05.ipynb
index fb687f4..2a7f0e1 100644
--- a/ch05/01_main-chapter-code/ch05.ipynb
+++ b/ch05/01_main-chapter-code/ch05.ipynb
@@ -23,7 +23,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "92b989e9-da36-4159-b212-799184764dd9",
    "metadata": {},
    "outputs": [
@@ -31,10 +31,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "matplotlib version: 3.8.2\n",
-      "numpy version: 1.26.0\n",
+      "matplotlib version: 3.7.2\n",
+      "numpy version: 1.25.2\n",
       "tiktoken version: 0.5.1\n",
-      "torch version: 2.2.2\n"
+      "torch version: 2.2.1\n"
      ]
     }
    ],
@@ -119,7 +119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "86000d74-624a-48f0-86da-f41926cb9e04",
    "metadata": {
     "colab": {
@@ -180,7 +180,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "5e062b82-3540-48ce-8eb4-009686d0d16c",
    "metadata": {},
    "outputs": [
@@ -260,7 +260,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "6b5402f8-ec0c-4a44-9892-18a97779ee4f",
    "metadata": {
     "colab": {
@@ -290,7 +290,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "e7b6ec51-6f8c-49bd-a349-95ba38b46fb6",
    "metadata": {},
    "outputs": [
@@ -345,7 +345,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "34ebd76a-16ec-4c17-8958-8a135735cc1c",
    "metadata": {
     "colab": {
@@ -385,7 +385,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "c990ead6-53cd-49a7-a6d1-14d8c1518249",
    "metadata": {},
    "outputs": [
@@ -430,7 +430,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "54aef09c-d6e3-4238-8653-b3a1b0a1077a",
    "metadata": {
     "colab": {
@@ -470,7 +470,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "31402a67-a16e-4aeb-977e-70abb9c9949b",
    "metadata": {
     "colab": {
@@ -504,7 +504,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "9b003797-161b-4d98-81dc-e68320e09fec",
    "metadata": {
     "colab": {
@@ -548,7 +548,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "176ddf35-1c5f-4d7c-bf17-70f3e7069bd4",
    "metadata": {},
    "outputs": [
@@ -591,7 +591,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "695d6f64-5084-4c23-aea4-105c9e38cfe4",
    "metadata": {
     "colab": {
@@ -628,7 +628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "0e17e027-ab9f-4fb5-ac9b-a009b831c122",
    "metadata": {
     "colab": {
@@ -666,7 +666,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "id": "62d0816e-b29a-4c8f-a9a5-a167562de978",
    "metadata": {
     "colab": {
@@ -700,7 +700,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "id": "168952a1-b964-4aa7-8e49-966fa26add54",
    "metadata": {
     "colab": {
@@ -764,7 +764,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "id": "654fde37-b2a9-4a20-a8d3-0206c056e2ff",
    "metadata": {},
    "outputs": [],
@@ -795,7 +795,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "id": "6kgJbe4ehI4q",
    "metadata": {
     "colab": {
@@ -821,7 +821,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "id": "j2XPde_ThM_e",
    "metadata": {
     "colab": {
@@ -847,7 +847,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "id": "6b46a952-d50a-4837-af09-4095698f7fd1",
    "metadata": {
     "colab": {
@@ -903,7 +903,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "id": "0959c855-f860-4358-8b98-bc654f047578",
    "metadata": {},
    "outputs": [],
@@ -940,7 +940,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "id": "f37b3eb0-854e-4895-9898-fa7d1e67566e",
    "metadata": {},
    "outputs": [],
@@ -977,7 +977,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "id": "ca0116d0-d229-472c-9fbf-ebc229331c3e",
    "metadata": {},
    "outputs": [
@@ -1021,7 +1021,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "id": "eb860488-5453-41d7-9870-23b723f742a0",
    "metadata": {
     "colab": {
@@ -1066,7 +1066,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "id": "7b9de31e-4096-47b3-976d-b6d2fdce04bc",
    "metadata": {
     "id": "7b9de31e-4096-47b3-976d-b6d2fdce04bc"
@@ -1110,7 +1110,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "id": "56f5b0c9-1065-4d67-98b9-010e42fc1e2a",
    "metadata": {},
    "outputs": [
@@ -1167,7 +1167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "id": "Mtp4gY0ZO-qq",
    "metadata": {
     "id": "Mtp4gY0ZO-qq"
@@ -1243,7 +1243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "id": "3422000b-7aa2-485b-92df-99372cd22311",
    "metadata": {
     "colab": {
@@ -1304,7 +1304,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "id": "0WSRu2i0iHJE",
    "metadata": {
     "colab": {
@@ -1317,7 +1317,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -1412,7 +1412,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 29,
    "id": "2734cee0-f6f9-42d5-b71c-fa7e0ef28b6d",
    "metadata": {},
    "outputs": [
@@ -1483,7 +1483,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 30,
    "id": "01a5ce39-3dc8-4c35-96bc-6410a1e42412",
    "metadata": {},
    "outputs": [
@@ -1525,7 +1525,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 31,
    "id": "6400572f-b3c8-49e2-95bc-433e55c5b3a1",
    "metadata": {},
    "outputs": [
@@ -1545,7 +1545,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 32,
    "id": "b23b863e-252a-403c-b5b1-62bc0a42319f",
    "metadata": {},
    "outputs": [
@@ -1597,7 +1597,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 33,
    "id": "0759e4c8-5362-467c-bec6-b0a19d1ba43d",
    "metadata": {},
    "outputs": [],
@@ -1615,13 +1615,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 34,
    "id": "2e66e613-4aca-4296-a984-ddd0d80c6578",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1659,7 +1659,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 35,
    "id": "e4600713-c51e-4f53-bf58-040a6eb362b8",
    "metadata": {},
    "outputs": [
@@ -1692,7 +1692,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 36,
    "id": "9dfb48f0-bc3f-46a5-9844-33b6c9b0f4df",
    "metadata": {},
    "outputs": [
@@ -1758,7 +1758,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 37,
    "id": "2a7f908a-e9ec-446a-b407-fb6dbf05c806",
    "metadata": {},
    "outputs": [
@@ -1781,7 +1781,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 38,
    "id": "753865ed-79c5-48b1-b9f2-ccb132ff1d2f",
    "metadata": {},
    "outputs": [
@@ -1805,7 +1805,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 39,
    "id": "4844f000-c329-4e7e-aa89-16a2c4ebee43",
    "metadata": {},
    "outputs": [
@@ -1841,7 +1841,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 40,
    "id": "8e318891-bcc0-4d71-b147-33ce55febfa3",
    "metadata": {},
    "outputs": [],
@@ -1884,7 +1884,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 41,
    "id": "aa2a0d7d-0457-42d1-ab9d-bd67683e7ed8",
    "metadata": {},
    "outputs": [
@@ -1893,9 +1893,7 @@
      "output_type": "stream",
      "text": [
       "Output text:\n",
-      " Every effort moves you know terrace _not brush.\"\n",
-      "\n",
-      "\"Never a little wild in a and Mrs. G\n"
+      " Every effort moves you?\",\" was down surprise. It is to face watching me by his painting him back to my work\n"
      ]
     }
    ],
@@ -1950,7 +1948,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 42,
    "id": "3d67d869-ac04-4382-bcfb-c96d1ca80d47",
    "metadata": {},
    "outputs": [],
@@ -1968,7 +1966,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 43,
    "id": "9d57d914-60a3-47f1-b499-5352f4c457cb",
    "metadata": {},
    "outputs": [],
@@ -1989,7 +1987,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 44,
    "id": "bbd175bb-edf4-450e-a6de-d3e8913c6532",
    "metadata": {},
    "outputs": [],
@@ -2004,7 +2002,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 45,
    "id": "8a0c7295-c822-43bf-9286-c45abc542868",
    "metadata": {},
    "outputs": [],
@@ -2057,7 +2055,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 46,
    "id": "fb9fdf02-972a-444e-bf65-8ffcaaf30ce8",
    "metadata": {},
    "outputs": [],
@@ -2067,7 +2065,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 47,
    "id": "a0747edc-559c-44ef-a93f-079d60227e3f",
    "metadata": {},
    "outputs": [
@@ -2076,7 +2074,7 @@
      "output_type": "stream",
      "text": [
       "TensorFlow version: 2.15.0\n",
-      "tqdm version: 4.66.1\n"
+      "tqdm version: 4.66.2\n"
      ]
     }
    ],
@@ -2087,7 +2085,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 48,
    "id": "c5bc89eb-4d39-4287-9b0c-e459ebe7f5ed",
    "metadata": {},
    "outputs": [],
@@ -2106,21 +2104,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 49,
    "id": "76271dd7-108d-4f5b-9c01-6ae0aac4b395",
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
+     "name": "stdout",
      "output_type": "stream",
      "text": [
-      "checkpoint: 100%|████████████████████████████| 77.0/77.0 [00:00<00:00, 132kiB/s]\n",
-      "encoder.json: 100%|███████████████████████| 1.04M/1.04M [00:00<00:00, 3.54MiB/s]\n",
-      "hparams.json: 100%|█████████████████████████| 90.0/90.0 [00:00<00:00, 52.9kiB/s]\n",
-      "model.ckpt.data-00000-of-00001: 100%|███████| 498M/498M [01:02<00:00, 7.93MiB/s]\n",
-      "model.ckpt.index: 100%|███████████████████| 5.21k/5.21k [00:00<00:00, 1.48MiB/s]\n",
-      "model.ckpt.meta: 100%|██████████████████████| 471k/471k [00:00<00:00, 1.93MiB/s]\n",
-      "vocab.bpe: 100%|████████████████████████████| 456k/456k [00:00<00:00, 2.30MiB/s]\n"
+      "File already exists and is up-to-date: gpt2/124M/checkpoint\n",
+      "File already exists and is up-to-date: gpt2/124M/encoder.json\n",
+      "File already exists and is up-to-date: gpt2/124M/hparams.json\n",
+      "File already exists and is up-to-date: gpt2/124M/model.ckpt.data-00000-of-00001\n",
+      "File already exists and is up-to-date: gpt2/124M/model.ckpt.index\n",
+      "File already exists and is up-to-date: gpt2/124M/model.ckpt.meta\n",
+      "File already exists and is up-to-date: gpt2/124M/vocab.bpe\n"
      ]
     }
    ],
@@ -2130,7 +2128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 50,
    "id": "b1a31951-d971-4a6e-9c43-11ee1168ec6a",
    "metadata": {},
    "outputs": [
@@ -2148,7 +2146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 51,
    "id": "857c8331-130e-46ba-921d-fa35d7a73cfe",
    "metadata": {},
    "outputs": [
@@ -2194,21 +2192,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 52,
    "id": "9fef90dd-0654-4667-844f-08e28339ef7d",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Define model configurations in a dictionary for compactness\n",
     "model_configs = {\n",
-    "    \"gpt2-small\": {\"emb_dim\": 768, \"n_layers\": 12, \"n_heads\": 12},\n",
-    "    \"gpt2-medium\": {\"emb_dim\": 1024, \"n_layers\": 24, \"n_heads\": 16},\n",
-    "    \"gpt2-large\": {\"emb_dim\": 1280, \"n_layers\": 36, \"n_heads\": 20},\n",
-    "    \"gpt2-xl\": {\"emb_dim\": 1600, \"n_layers\": 48, \"n_heads\": 25},\n",
+    "    \"gpt2-small (124M)\": {\"emb_dim\": 768, \"n_layers\": 12, \"n_heads\": 12},\n",
+    "    \"gpt2-medium (355M)\": {\"emb_dim\": 1024, \"n_layers\": 24, \"n_heads\": 16},\n",
+    "    \"gpt2-large (774M)\": {\"emb_dim\": 1280, \"n_layers\": 36, \"n_heads\": 20},\n",
+    "    \"gpt2-xl (1558M)\": {\"emb_dim\": 1600, \"n_layers\": 48, \"n_heads\": 25},\n",
     "}\n",
     "\n",
     "# Copy the base configuration and update with specific model settings\n",
-    "model_name = \"gpt2-small\"  # Example model name\n",
+    "model_name = \"gpt2-small (124M)\"  # Example model name\n",
     "NEW_CONFIG = GPT_CONFIG_124M.copy()\n",
     "NEW_CONFIG.update(model_configs[model_name])\n",
     "NEW_CONFIG.update({\"ctx_len\": 1024, \"qkv_bias\": True})\n",
@@ -2227,7 +2225,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 53,
    "id": "f9a92229-c002-49a6-8cfb-248297ad8296",
    "metadata": {},
    "outputs": [],
@@ -2240,11 +2238,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 57,
    "id": "f22d5d95-ca5a-425c-a9ec-fc432a12d4e9",
    "metadata": {},
    "outputs": [],
    "source": [
+    "import numpy as np\n",
+    "\n",
     "def load_weights_into_gpt(gpt, params):\n",
     "    # Weight tying\n",
     "    gpt.pos_emb.weight = assign(gpt.pos_emb.weight, params['wpe'])\n",
@@ -2293,7 +2293,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 58,
    "id": "1f690253-f845-4347-b7b6-43fabbd2affa",
    "metadata": {},
    "outputs": [
@@ -2390,7 +2390,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
diff --git a/ch05/01_main-chapter-code/gpt_generate.py b/ch05/01_main-chapter-code/gpt_generate.py
index 8adb728..874071e 100644
--- a/ch05/01_main-chapter-code/gpt_generate.py
+++ b/ch05/01_main-chapter-code/gpt_generate.py
@@ -219,7 +219,7 @@ if __name__ == "__main__":
 
     torch.manual_seed(123)
 
-    CHOOSE_MODEL = "gpt2-small"
+    CHOOSE_MODEL = "gpt2-small (124M)"
     INPUT_PROMPT = "Every effort moves"
 
     BASE_CONFIG = {
@@ -230,19 +230,14 @@ if __name__ == "__main__":
     }
 
     model_configs = {
-        "gpt2-small": {"emb_dim": 768, "n_layers": 12, "n_heads": 12},
-        "gpt2-medium": {"emb_dim": 1024, "n_layers": 24, "n_heads": 16},
-        "gpt2-large": {"emb_dim": 1280, "n_layers": 36, "n_heads": 20},
-        "gpt2-xl": {"emb_dim": 1600, "n_layers": 48, "n_heads": 25},
+        "gpt2-small (124M)": {"emb_dim": 768, "n_layers": 12, "n_heads": 12},
+        "gpt2-medium (355M)": {"emb_dim": 1024, "n_layers": 24, "n_heads": 16},
+        "gpt2-large (774M)": {"emb_dim": 1280, "n_layers": 36, "n_heads": 20},
+        "gpt2-xl (1558M)": {"emb_dim": 1600, "n_layers": 48, "n_heads": 25},
     }
 
-    model_sizes = {
-        "gpt2-small": "124M",
-        "gpt2-medium": "355M",
-        "gpt2-large": "774M",
-        "gpt2-xl": "1558"
-    }
+    model_size = CHOOSE_MODEL.split(" ")[-1].lstrip("(").rstrip(")")
 
     BASE_CONFIG.update(model_configs[CHOOSE_MODEL])
 
-    main(BASE_CONFIG, INPUT_PROMPT, model_sizes[CHOOSE_MODEL])
+    main(BASE_CONFIG, INPUT_PROMPT, model_size)
diff --git a/ch05/02_alternative_weight_loading/weight-loading-hf-transformers.ipynb b/ch05/02_alternative_weight_loading/weight-loading-hf-transformers.ipynb
index 736c5bd..a4c7e80 100644
--- a/ch05/02_alternative_weight_loading/weight-loading-hf-transformers.ipynb
+++ b/ch05/02_alternative_weight_loading/weight-loading-hf-transformers.ipynb
@@ -126,13 +126,13 @@
     "\n",
     "# allowed model names\n",
     "model_names = {\n",
-    "    \"gpt2-small\": \"openai-community/gpt2\",         # 124M\n",
-    "    \"gpt2-medium\": \"openai-community/gpt2-medium\", # 355M\n",
-    "    \"gpt2-large\": \"openai-community/gpt2-large\",   # 774M\n",
-    "    \"gpt2-xl\": \"openai-community/gpt2-xl\"          # 1558M\n",
+    "    \"gpt2-small (124M)\": \"openai-community/gpt2\",\n",
+    "    \"gpt2-medium (355M)\": \"openai-community/gpt2-medium\",\n",
+    "    \"gpt2-large (774M)\": \"openai-community/gpt2-large\",\n",
+    "    \"gpt2-xl (1558M)\": \"openai-community/gpt2-xl\"\n",
     "}\n",
     "\n",
-    "CHOOSE_MODEL = \"gpt2-small\"\n",
+    "CHOOSE_MODEL = \"gpt2-small (124M)\"\n",
     "\n",
     "gpt_hf = GPT2Model.from_pretrained(model_names[CHOOSE_MODEL], cache_dir=\"checkpoints\")\n",
     "gpt_hf.eval()"