<feature>: codestral-2412 launch

notebooks/official/generative_ai/mistralai_intro.ipynb

@@ -77,13 +77,16 @@
         "*   ### Mistral Large (24.11)\n",
         "Mistral Large (24.11) is the latest version of the Mistral Large model now with improved reasoning and function calling capabilities.\n",
         "\n",
-        "*   ### Mistral Large (2407)\n",
+        "*   ### Codestral (24.12)\n",
+        "A cutting-edge model specifically designed for code generation, including fill-in-the-middle and code completion.\n",
+        "\n",
+        "*   ### Mistral Large (24.07)\n",
         "Complex tasks that require large reasoning capabilities or are highly specialized (synthetic text Generation, code generation, RAG, or agents). [Blog Post](https://mistral.ai/news/mistral-large-2407/)\n",
         "\n",
         "*   ### Mistral Nemo\n",
         "Reasoning, world knowledge, and coding performance are state-of-the-art in its size category.\n",
         "\n",
-        "*   ### Codestral\n",
+        "*   ### Codestral (24.05)\n",
         "Coding specific tasks to enhance developers productivity with code completion and fill-in-the-middle capabilities.\n",
         "\n",
         "\n",
@@ -160,10 +163,13 @@
       },
       "outputs": [],
       "source": [
-        "MODEL = \"mistral-large-2411\"  # @param [\"mistral-large-2411\", \"mistral-large\", \"mistral-nemo\", \"codestral\"]\n",
+        "MODEL = \"mistral-large-2411\"  # @param [\"mistral-large-2411\", \"codestral-2412\", \"mistral-large\", \"mistral-nemo\", \"codestral\"]\n",
         "if MODEL == \"mistral-large-2411\":\n",
         "    available_regions = [\"europe-west4\", \"us-central1\"]\n",
         "    available_versions = [\"latest\"]\n",
+        "elif MODEL == \"codestral-2412\":\n",
+        "    available_regions = [\"europe-west4\", \"us-central1\"]\n",
+        "    available_versions = [\"latest\"]\n",
         "elif MODEL == \"mistral-large\":\n",
         "    available_regions = [\"europe-west4\", \"us-central1\"]\n",
         "    available_versions = [\"latest\", \"2407\"]\n",
@@ -328,7 +334,7 @@
         "}\n",
         "\n",
         "request = json.dumps(PAYLOAD)\n",
-        "!curl -X POST -H \"Authorization: Bearer $(gcloud auth print-access-token)\" -H \"Content-Type: application/json\" {ENDPOINT}/v1/projects/{PROJECT_ID}/locations/{LOCATION}/publishers/mistralai/models/{MODEL}{SELECTED_MODEL_VERSION}:rawPredict -d '{request}'"
+        "!curl -X POST -v -H \"Authorization: Bearer $(gcloud auth print-access-token)\" -H \"Content-Type: application/json\" {ENDPOINT}/v1/projects/{PROJECT_ID}/locations/{LOCATION}/publishers/mistralai/models/{MODEL}{SELECTED_MODEL_VERSION}:rawPredict -d '{request}'"
       ]
     },
     {
@@ -460,7 +466,7 @@
       },
       "outputs": [],
       "source": [
-        "MODEL = \"codestral\"\n",
+        "MODEL = \"codestral-2412\"  # for 24.05 version of codestral use \"codestral\"\n",
         "SELECTED_MODEL_VERSION = \"\"\n",
         "\n",
         "PAYLOAD = {\n",
@@ -490,7 +496,7 @@
       },
       "outputs": [],
       "source": [
-        "MODEL = \"codestral\"\n",
+        "MODEL = \"codestral-2412\"  # for 24.05 version of codestral use \"codestral\"\n",
         "\n",
         "# Get the access token\n",
         "process = subprocess.Popen(\n",