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Copy file name to clipboardExpand all lines: articles/ai-studio/how-to/deploy-models-jamba.md
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@@ -3,7 +3,7 @@ title: How to deploy AI21's Jamba family models with Azure AI Studio
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titleSuffix: Azure AI Studio
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description: How to deploy AI21's Jamba family models with Azure AI Studio
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manager: scottpolly
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ms.service: machine-learning
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ms.service: azure-machine-learning
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ms.topic: how-to
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ms.date: 08/06/2024
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ms.author: ssalgado
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1. Once you subscribe the project for the particular Azure Marketplace offering, subsequent deployments of the _same_ offering in the _same_ project don't require subscribing again. If this scenario applies to you, there's a **Continue to deploy** option to select.
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1. Give the deployment a name. This name becomes part of the deployment API URL. This URL must be unique in each Azure region.
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1. Select **Deploy**. Wait until the deployment is ready and you're redirected to the Deployments page.
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1. Return to the Deployments page, select the deployment, and note the endpoint's **Target** URL and the Secret **Key**. For more information on using the APIs, see the [Reference](#reference-for-jamba-instruct-deployed-as-a-serverless-api) section.
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1. Return to the Deployments page, select the deployment, and note the endpoint's **Target** URL and the Secret **Key**. For more information on using the APIs, see the [Reference](#reference-for-jamba-family-models-deployed-as-a-serverless-api) section.
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1. You can always find the endpoint's details, URL, and access keys by navigating to your **Project overview** page. Then, from the left sidebar of your project, select **Components** > **Deployments**.
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To learn about billing for the AI21-Jamba family models deployed as a serverless API with pay-as-you-go token-based billing, see [Cost and quota considerations for Jamba Instruct deployed as a serverless API](#cost-and-quota-considerations-for-jamba-instruct-deployed-as-a-serverless-api).
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To learn about billing for the AI21-Jamba family models deployed as a serverless API with pay-as-you-go token-based billing, see [Cost and quota considerations for Jamba Instruct deployed as a serverless API](#cost-and-quota-considerations-for-jamba-family-models-deployed-as-a-serverless-api).
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1. Make an API request.
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For more information on using the APIs, see the [reference](#reference-for-jamba-instruct-deployed-as-a-serverless-api) section.
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For more information on using the APIs, see the [reference](#reference-for-jamba-family-models-deployed-as-a-serverless-api) section.
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