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articles/ai-studio/how-to/deploy-models-llama.md

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@@ -512,15 +512,15 @@ Apart from deploying with the pay-as-you-go managed service, you can also deploy
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- `Llama Guard 3 8B`
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- `Prompt Guard`
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Follow these steps to deploy a model such as `Meta-Llama-3.1-70B-Instruct ` to a real-time endpoint in [Azure AI Studio](https://ai.azure.com).
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Follow these steps to deploy a model such as `Meta-Llama-3.1-70B-Instruct ` to a managed compute in [Azure AI Studio](https://ai.azure.com).
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1. Choose the model you want to deploy from the Azure AI Studio [model catalog](https://ai.azure.com/explore/models).
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Alternatively, you can initiate deployment by starting from your project in AI Studio. Select your project and then select **Deployments** > **+ Create**.
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1. On the model's **Details** page, select **Deploy** next to the **View license** button.
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:::image type="content" source="../media/deploy-monitor/llama/deploy-real-time-endpoint.png" alt-text="A screenshot showing how to deploy a model with the real-time endpoint option." lightbox="../media/deploy-monitor/llama/deploy-real-time-endpoint.png":::
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:::image type="content" source="../media/deploy-monitor/llama/deploy-real-time-endpoint.png" alt-text="A screenshot showing how to deploy a model with the managed compute option." lightbox="../media/deploy-monitor/llama/deploy-real-time-endpoint.png":::
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1. On the **Deploy with Azure AI Content Safety (preview)** page, select **Skip Azure AI Content Safety** so that you can continue to deploy the model using the UI.
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