diff --git a/ch05/11_qwen3/standalone-qwen3-plus-kvcache.ipynb b/ch05/11_qwen3/standalone-qwen3-plus-kvcache.ipynb
index fac9a55..b79af45 100644
--- a/ch05/11_qwen3/standalone-qwen3-plus-kvcache.ipynb
+++ b/ch05/11_qwen3/standalone-qwen3-plus-kvcache.ipynb
@@ -82,8 +82,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "huggingface_hub version: 0.34.4\n",
-      "tokenizers version: 0.21.4\n",
+      "huggingface_hub version: 0.35.3\n",
+      "tokenizers version: 0.22.1\n",
       "torch version: 2.8.0\n"
      ]
     }
@@ -105,7 +105,12 @@
    "id": "07e96fbb-8e16-4f6d-835f-c6159321280b",
    "metadata": {},
    "source": [
-    "- This notebook supports both the base model and the reasoning (\"thinking\") model; which model to use can be controlled via the following flag:"
+    "- Note that there are two models, the \"base\" and the \"hybrid\" model, and the hybrid model can be used as either a reasoning or a regular instruction-following model:\n",
+    "- In short, the model types are as follows:\n",
+    "  - `base`: the pretrained base model; note that the Qwen3 pretraining contained some reasoning data (chain-of-thought data), so the model sometimes emits reasoning traces even though it didn't undergo the reasoning training (reinforcement learning) stages\n",
+    "  - `hybrid` \n",
+    "    - `reasoning`: emits long reasoning traces inside `<think></think>` tags\n",
+    "    - `instruct`: the same as above, but long reasoning traces can be suppressed by manually adding empty `<think></think>` (this is done by the tokenizer); this way, the model acts like a regular instruction-following model"
    ]
   },
   {
@@ -115,14 +120,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "USE_REASONING_MODEL = True\n",
-    "# Uses the base model if USE_REASONING_MODEL = False\n",
+    "# Select which model to use via the following flag; only one can be True\n",
     "\n",
+    "USE_BASE_MODEL = False\n",
+    "USE_REASONING_MODEL = True \n",
     "USE_INSTRUCT_MODEL = False\n",
-    "# Uses the instruct mode (without reasoning) if \n",
-    "# USE_REASONING_MODEL = True\n",
-    "# USE_INSTRUCT_MODEL = True\n",
-    "# This setting does have no effect if USE_REASONING_MODEL = False"
+    "\n",
+    "if (USE_BASE_MODEL + USE_REASONING_MODEL\n",
+    "    + USE_INSTRUCT_MODEL) != 1:\n",
+    "    raise AttributeError(\"Only one of the options above can be True.\")"
    ]
   },
   {
@@ -916,7 +922,16 @@
     "id": "699cb1b8-a67d-49fb-80a6-0dad9d81f392",
     "outputId": "55b2f28c-142f-4698-9d23-d27456d3ed6d"
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/sebastian/Developer/LLMs-from-scratch/.venv/lib/python3.13/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    }
+   ],
    "source": [
     "import json\n",
     "import os\n",
@@ -925,7 +940,7 @@
     "from huggingface_hub import hf_hub_download, snapshot_download\n",
     "\n",
     "\n",
-    "if USE_REASONING_MODEL:\n",
+    "if USE_REASONING_MODEL or USE_INSTRUCT_MODEL:\n",
     "    repo_id = f\"Qwen/Qwen3-{CHOOSE_MODEL}\"\n",
     "else:\n",
     "    repo_id = f\"Qwen/Qwen3-{CHOOSE_MODEL}-Base\"\n",
@@ -1064,13 +1079,23 @@
     "    local_dir=local_dir,\n",
     ")\n",
     "\n",
-    "tokenizer = Qwen3Tokenizer(\n",
-    "    tokenizer_file_path=tokenizer_file_path,\n",
-    "    repo_id=repo_id,\n",
-    "    apply_chat_template=USE_REASONING_MODEL,\n",
-    "    add_generation_prompt=USE_REASONING_MODEL,\n",
-    "    add_thinking=not USE_INSTRUCT_MODEL\n",
-    ")"
+    "if USE_REASONING_MODEL or USE_INSTRUCT_MODEL:\n",
+    "    tokenizer = Qwen3Tokenizer(\n",
+    "        tokenizer_file_path=tokenizer_file_path,\n",
+    "        repo_id=repo_id,\n",
+    "        apply_chat_template=True,\n",
+    "        add_generation_prompt=True,\n",
+    "        add_thinking=USE_REASONING_MODEL\n",
+    "    )\n",
+    "\n",
+    "else:\n",
+    "    tokenizer = Qwen3Tokenizer(\n",
+    "        tokenizer_file_path=tokenizer_file_path,\n",
+    "        repo_id=repo_id,\n",
+    "        apply_chat_template=False,\n",
+    "        add_generation_prompt=False,\n",
+    "        add_thinking=False\n",
+    "    )"
    ]
   },
   {
@@ -1228,7 +1253,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.16"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,
diff --git a/ch05/11_qwen3/standalone-qwen3.ipynb b/ch05/11_qwen3/standalone-qwen3.ipynb
index 911eccb..156854f 100644
--- a/ch05/11_qwen3/standalone-qwen3.ipynb
+++ b/ch05/11_qwen3/standalone-qwen3.ipynb
@@ -103,7 +103,12 @@
    "id": "07e96fbb-8e16-4f6d-835f-c6159321280b",
    "metadata": {},
    "source": [
-    "- This notebook supports both the base model and the reasoning (\"thinking\") model; which model to use can be controlled via the following flag:"
+    "- Note that there are two models, the \"base\" and the \"hybrid\" model, and the hybrid model can be used as either a reasoning or a regular instruction-following model:\n",
+    "- In short, the model types are as follows:\n",
+    "  - `base`: the pretrained base model; note that the Qwen3 pretraining contained some reasoning data (chain-of-thought data), so the model sometimes emits reasoning traces even though it didn't undergo the reasoning training (reinforcement learning) stages\n",
+    "  - `hybrid` \n",
+    "    - `reasoning`: emits long reasoning traces inside `<think></think>` tags\n",
+    "    - `instruct`: the same as above, but long reasoning traces can be suppressed by manually adding empty `<think></think>` (this is done by the tokenizer); this way, the model acts like a regular instruction-following model"
    ]
   },
   {
@@ -113,14 +118,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "USE_REASONING_MODEL = True\n",
-    "# Uses the base model if USE_REASONING_MODEL = False\n",
+    "# Select which model to use via the following flag; only one can be True\n",
     "\n",
+    "USE_BASE_MODEL = False\n",
+    "USE_REASONING_MODEL = True \n",
     "USE_INSTRUCT_MODEL = False\n",
-    "# Uses the instruct mode (without reasoning) if \n",
-    "# USE_REASONING_MODEL = True\n",
-    "# USE_INSTRUCT_MODEL = True\n",
-    "# This setting does have no effect if USE_REASONING_MODEL = False"
+    "\n",
+    "if (USE_BASE_MODEL + USE_REASONING_MODEL\n",
+    "    + USE_INSTRUCT_MODEL) != 1:\n",
+    "    raise AttributeError(\"Only one of the options above can be True.\")"
    ]
   },
   {
@@ -867,7 +873,7 @@
     "from huggingface_hub import hf_hub_download, snapshot_download\n",
     "\n",
     "\n",
-    "if USE_REASONING_MODEL:\n",
+    "if USE_REASONING_MODEL or USE_INSTRUCT_MODEL:\n",
     "    repo_id = f\"Qwen/Qwen3-{CHOOSE_MODEL}\"\n",
     "else:\n",
     "    repo_id = f\"Qwen/Qwen3-{CHOOSE_MODEL}-Base\"\n",
@@ -1006,13 +1012,23 @@
     "    local_dir=local_dir,\n",
     ")\n",
     "\n",
-    "tokenizer = Qwen3Tokenizer(\n",
-    "    tokenizer_file_path=tokenizer_file_path,\n",
-    "    repo_id=repo_id,\n",
-    "    apply_chat_template=USE_REASONING_MODEL,\n",
-    "    add_generation_prompt=USE_REASONING_MODEL,\n",
-    "    add_thinking=not USE_INSTRUCT_MODEL\n",
-    ")"
+    "if USE_REASONING_MODEL or USE_INSTRUCT_MODEL:\n",
+    "    tokenizer = Qwen3Tokenizer(\n",
+    "        tokenizer_file_path=tokenizer_file_path,\n",
+    "        repo_id=repo_id,\n",
+    "        apply_chat_template=True,\n",
+    "        add_generation_prompt=True,\n",
+    "        add_thinking=USE_REASONING_MODEL\n",
+    "    )\n",
+    "\n",
+    "else:\n",
+    "    tokenizer = Qwen3Tokenizer(\n",
+    "        tokenizer_file_path=tokenizer_file_path,\n",
+    "        repo_id=repo_id,\n",
+    "        apply_chat_template=False,\n",
+    "        add_generation_prompt=False,\n",
+    "        add_thinking=False\n",
+    "    )"
    ]
   },
   {
@@ -1163,7 +1179,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.16"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,