diff --git a/docs/docs/integrations/llms/sambanovacloud.ipynb b/docs/docs/integrations/llms/sambanovacloud.ipynb
index cffe08553fa..b3cc05a4d55 100644
--- a/docs/docs/integrations/llms/sambanovacloud.ipynb
+++ b/docs/docs/integrations/llms/sambanovacloud.ipynb
@@ -74,14 +74,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "from langchain_community.llms.sambanova import SambaNovaCloud\n",
     "\n",
     "llm = SambaNovaCloud(\n",
-    "    model=\"Meta-Llama-3.1-70B-Instruct\",\n",
+    "    model=\"Meta-Llama-3.3-70B-Instruct\",\n",
     "    max_tokens_to_generate=1000,\n",
     "    temperature=0.01,\n",
     "    # top_k = 50,\n",
diff --git a/docs/docs/integrations/providers/sambanova.ipynb b/docs/docs/integrations/providers/sambanova.ipynb
index 1027cf6609e..608f5f3e187 100644
--- a/docs/docs/integrations/providers/sambanova.ipynb
+++ b/docs/docs/integrations/providers/sambanova.ipynb
@@ -130,7 +130,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "For a more detailed walkthrough of the SambaStudioEmbeddings component, see [this notebook](https://python.langchain.com/docs/integrations/text_embedding/sambanova/)"
+    "For a more detailed walkthrough of the SambaNovaCloudEmbeddings component, see [this notebook](https://python.langchain.com/docs/integrations/text_embedding/sambanova/)"
    ]
   },
   {