diff --git a/ch05/16_qwen3.5/qwen3.5-plus-kv-cache.ipynb b/ch05/16_qwen3.5/qwen3.5-plus-kv-cache.ipynb
index 929de3d..25529de 100644
--- a/ch05/16_qwen3.5/qwen3.5-plus-kv-cache.ipynb
+++ b/ch05/16_qwen3.5/qwen3.5-plus-kv-cache.ipynb
@@ -1449,17 +1449,23 @@
     "\n",
     "    model.eval()\n",
     "    with torch.no_grad():\n",
-    "        for _ in range(max_new_tokens):\n",
-    "            out = model(token_ids)[:, -1]\n",
-    "            next_token = torch.argmax(out, dim=-1, keepdim=True)\n",
+    "        cache = KVCache(n_layers=model.cfg[\"n_layers\"])\n",
+    "        model.reset_kv_cache()\n",
     "\n",
-    "            if (eos_token_id is not None\n",
-    "                   and torch.all(next_token == eos_token_id)):\n",
-    "               break\n",
+    "        # Prime the cache with the initial context\n",
+    "        logits = model(token_ids, cache=cache)\n",
+    "\n",
+    "        for _ in range(max_new_tokens):\n",
+    "            next_token = torch.argmax(logits[:, -1], dim=-1, keepdim=True)\n",
+    "\n",
+    "            if eos_token_id is not None and torch.all(next_token == eos_token_id):\n",
+    "                break\n",
     "\n",
     "            yield next_token\n",
-    "            \n",
-    "            token_ids = torch.cat([token_ids, next_token], dim=1)"
+    "\n",
+    "            token_ids = torch.cat([token_ids, next_token], dim=1)\n",
+    "            # Feed only the new token to the model; cache handles history\n",
+    "            logits = model(next_token, cache=cache)"
    ]
   },
   {