Update how-to-deploy-models-mistral.md

Author: ssalgadodev

articles/machine-learning/how-to-deploy-models-mistral.md

@@ -62,43 +62,14 @@ Certain models in the model catalog can be deployed as a service with pay-as-you
 
 ### Prerequisites
 
-# [Mistral Large](#tab/mistral-large)
-
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
-- An Azure Machine Learning workspace. If you don't have a workspace, use the steps in the [Quickstart: Create workspace resources](quickstart-create-resources.md) article to create one. The serverless API model deployment offering for _Mistral Large_ is only available with workspaces created in these regions:
+- An Azure Machine Learning workspace. If you don't have a workspace, use the steps in the [Quickstart: Create workspace resources](quickstart-create-resources.md) article to create one.
 
-     * East US
-     * East US 2
-     * France Central
-     * North Central US
-     * South Central US
-     * West US
-     * West US 3
-     * Sweden Central
-
-    For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](concept-endpoint-serverless-availability.md).
+    > [!IMPORTANT]
+    > The pay-as-you-go model deployment offering for eligible models in the Mistral family is only available in workspaces created in the **East US 2** and **Sweden Central** regions. For _Mistral Large_, the pay-as-you-go offering is also available in the **France Central** region.
 
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure Machine Learning. To perform the steps in this article, your user account must be assigned the __Azure AI Developer role__ on the resource group. For more information on permissions, see [Manage access to an Azure Machine Learning workspace](how-to-assign-roles.md).
 
-# [Mistral Small](#tab/mistral-small)
-
-- An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
-- An Azure Machine Learning workspace. If you don't have a workspace, use the steps in the [Quickstart: Create workspace resources](quickstart-create-resources.md) article to create one. The serverless API model deployment offering for _Mistral Small_ is only available with workspaces created in these regions:
-
-     * East US
-     * East US 2
-     * North Central US
-     * South Central US
-     * West US
-     * West US 3
-     * Sweden Central
-
-    For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](concept-endpoint-serverless-availability.md).
-
-- Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure Machine Learning. To perform the steps in this article, your user account must be assigned the __Azure AI Developer role__ on the resource group. For more information on permissions, see [Manage access to an Azure Machine Learning workspace](how-to-assign-roles.md).
-
----
-
 ### Create a new deployment
 
 The following steps demonstrate the deployment of Mistral Large, but you can use the same steps to deploy Mistral Small by replacing the model name.
@@ -315,4 +286,3 @@ Models deployed as a service with pay-as-you-go are protected by Azure AI conten
 - [Model Catalog and Collections](concept-model-catalog.md)
 - [Deploy and score a machine learning model by using an online endpoint](how-to-deploy-online-endpoints.md)
 - [Plan and manage costs for Azure AI Studio](concept-plan-manage-cost.md)
-- [Region availability for models in serverless API endpoints](concept-endpoint-serverless-availability.md)