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articles/ai-foundry/model-inference/includes/create-model-deployments/cli.md

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@@ -57,7 +57,7 @@ To add a model, you first need to identify the model that you want to deploy. Yo
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az cognitiveservices account create -n $accountName -g $resourceGroupName --custom-domain $accountName --location $location --kind AIServices --sku S0
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```
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4. Let's see first which models are available to you and under which SKU. The following command list all the model definitions available:
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4. Let's see first which models are available to you and under which SKU. SKUs, also known as [deployment types](../../concepts/deployment-types.md), define how Azure infrastructure is used to process requests. Models may offer different deployment types. The following command list all the model definitions available:
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```azurecli
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az cognitiveservices account list-models \
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}
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```
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6. Identify the model you want to deploy. You need the properties `name`, `format`, `version`, and `sku`. Capacity might also be needed depending on the type of deployment.
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> [!TIP]
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> Notice that not all the models are available in all the SKUs.
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6. Identify the model you want to deploy. You need the properties `name`, `format`, `version`, and `sku`. The property `format` indicates the provider offering the model. Capacity might also be needed depending on the type of deployment.
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7. Add the model deployment to the resource. The following example adds `Phi-3.5-vision-instruct`:
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