diff --git a/docs/notebooks/Alpha_Llama_Stack_Post_Training.ipynb b/docs/notebooks/Alpha_Llama_Stack_Post_Training.ipynb
index 21155418e..c55c8da36 100644
--- a/docs/notebooks/Alpha_Llama_Stack_Post_Training.ipynb
+++ b/docs/notebooks/Alpha_Llama_Stack_Post_Training.ipynb
@@ -15,7 +15,7 @@
         "\n",
         "Resource requirement:\n",
         "- You can run this notebook with Llama 3.2 3B instruct model on Colab's **FREE** T4 GPU\n",
-        "- You can run this notebook with Llama 3.1 8B instruct model on Colab's A100 GPU or any GPU types with more than 16GB memory\n",
+        "- You can run this notebook with Llama 3.1 8B instruct model on Colab's A100 GPU or any GPU types with more than 22GB memory\n",
         "- You need to spin up an ollama server on local host (will provider step by step instruction on this)\n",
         "\n",
         "> **Note**: Llama Stack post training APIs are in alpha release stage and still under heavy development\n"
@@ -6360,7 +6360,7 @@
         "# We limit to 50 rows from the dataset to save time\n",
         "eval_rows = client.datasetio.get_rows_paginated(\n",
         "    dataset_id=\"eval_dataset\",\n",
-        "    rows_in_page=50,\n",
+        "    rows_in_page=-1,\n",
         ")\n",
         "\n",
         "from tqdm import tqdm\n",