diff --git a/docs/dist/examples/generate_structured_data_cohere.ipynb b/docs/dist/examples/generate_structured_data_cohere.ipynb
index b5f72cb20..22007ad92 100644
--- a/docs/dist/examples/generate_structured_data_cohere.ipynb
+++ b/docs/dist/examples/generate_structured_data_cohere.ipynb
@@ -146,7 +146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "42766922-14d0-4b5e-853a-23f05b896a09",
    "metadata": {},
    "outputs": [
@@ -171,7 +171,7 @@
     "\n",
     "raw_llm_response, validated_response, *rest = guard(\n",
     "    messages=[{\"role\": \"user\", \"content\": prompt}],\n",
-    "    model=\"command-r\",\n",
+    "    model=\"command-r-08-2024\",\n",
     "    max_tokens=1024,\n",
     "    temperature=0.3,\n",
     ")"
diff --git a/docs/dist/examples/generate_structured_data_cohere.md b/docs/dist/examples/generate_structured_data_cohere.md
index 5a6d2f7ef..361feda90 100644
--- a/docs/dist/examples/generate_structured_data_cohere.md
+++ b/docs/dist/examples/generate_structured_data_cohere.md
@@ -105,7 +105,7 @@ guard = gd.Guard.for_pydantic(output_class=Orders)
 
 raw_llm_response, validated_response, *rest = guard(
     messages=[{"role": "user", "content": prompt}],
-    model="command-r",
+    model="command-r-08-2024",
     max_tokens=1024,
     temperature=0.3,
 )
diff --git a/docs/src/examples/generate_structured_data_cohere.ipynb b/docs/src/examples/generate_structured_data_cohere.ipynb
index b5f72cb20..22007ad92 100644
--- a/docs/src/examples/generate_structured_data_cohere.ipynb
+++ b/docs/src/examples/generate_structured_data_cohere.ipynb
@@ -146,7 +146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "42766922-14d0-4b5e-853a-23f05b896a09",
    "metadata": {},
    "outputs": [
@@ -171,7 +171,7 @@
     "\n",
     "raw_llm_response, validated_response, *rest = guard(\n",
     "    messages=[{\"role\": \"user\", \"content\": prompt}],\n",
-    "    model=\"command-r\",\n",
+    "    model=\"command-r-08-2024\",\n",
     "    max_tokens=1024,\n",
     "    temperature=0.3,\n",
     ")"