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Author: eric-urban

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

@@ -437,7 +437,7 @@ Llama models deployed as a service are offered by Meta through the Azure Marketp
 
 Each time a project subscribes to a given offer from the Azure Marketplace, a new resource is created to track the costs associated with its consumption. The same resource is used to track costs associated with inference and fine tuning, However, multiple meters are available to track each scenario independently. See [monitor costs for models offered throughout the Azure Marketplace](./costs-plan-manage.md#monitor-costs-for-models-offered-through-the-azure-marketplace) to learn more about how to track costs.
 
-:::image type="content" source="../media/cost-management/marketplace/costs-model-as-service-cost-details.png" alt-text="A screenshot showing different resources corresponding to different model offers and their associated meters."  lightbox="../media/cost-management/marketplace/deploy-model-as-service-cost-details.png":::
+:::image type="content" source="../media/cost-management/marketplace/costs-model-as-service-cost-details.png" alt-text="A screenshot showing different resources corresponding to different model offers and their associated meters."  lightbox="../media/cost-management/marketplace/costs-model-as-service-cost-details.png":::
 
 Quota is managed per deployment. Each deployment has a rate limit of 20,000 tokens per minute. However, we currently limit one deployment per model per project. Contact Microsoft Azure Support if the current rate limits don’t suffice your scenarios.