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Merge branch 'main' of https://github.com/MicrosoftDocs/azure-ai-docs-pr into aug-fixes
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articles/ai-foundry/foundry-models/concepts/models.md

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See [the Microsoft model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=phi). There are also several Microsoft models available [from partners and community](#microsoft).
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### Mistral models sold directly by Azure
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| Model | Type | Capabilities | Project type
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| ------ | ---- | ------------ | ------------ |
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| [mistral-document-ai-2505]() | Image-to-Text | - **Input:** image or PDF pages ( 30 pages, max 30MB PDF file) <br /> - **Output:** text <br /> - **Languages:** en <br /> - **Tool calling:** no <br /> - **Response formats:** Text, JSON, Markdown | Foundry |
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See [the Mistral model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=mistral). There are also several Mistral models available [from partners and community](#mistral-ai).
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### xAI models sold directly by Azure
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articles/ai-foundry/how-to/fine-tune-managed-compute.md

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1. If you're not already in your project, select it.
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1. Select **Fine-tuning** from the left pane.
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1. Select **Fine-tune model** and add the model that you want to fine-tune. This article uses _Phi-3-mini-4k-instruct_ for illustration.
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1. Select **Fine-tune a model** and add the model that you want to fine-tune. This article uses _Phi-3-mini-4k-instruct_ for illustration.
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1. Select **Next** to see the available fine-tune options. Some foundation models support only the __Managed compute__ option.
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1. Alternatively, you could select **Model catalog** from the left sidebar of your project and find the model card of the foundation model that you want to fine-tune.
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1. Provide a name for the fine-tuned model on the "Basic settings" page, and select **Next** to go to the "Compute" page.
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1. Select the Azure Machine Learning compute cluster to use for fine-tuning the model. Fine-tuning runs on GPU compute. Ensure that you have sufficient compute quota for the compute SKUs you plan to use.
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1. Select a Virtual machine size to use for fine-tuning the model. Fine-tuning runs on GPU compute. Ensure that you have sufficient compute quota for the compute SKUs you plan to use.
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:::image type="content" source="../media/how-to/fine-tune-managed-compute/fine-tune-compute.png" alt-text="Screenshot showing settings for the compute to use for fine-tuning." lightbox="../media/how-to/fine-tune-managed-compute/fine-tune-compute.png":::
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articles/ai-foundry/includes/region-availability-maas.md

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| Model | Offer Availability Region | Hub/Project Region for Deployment | Hub/Project Region for Fine tuning |
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|---------|---------|---------|---------|
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mistral-document-ai-2505 | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) | EastUS2 <br> Sweden Central | Not available |
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Codestral-2501 | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Brazil <br> Hong Kong SAR <br> Israel | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3 | Not available |
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Mistral OCR 25.03 | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Brazil <br> Hong Kong SAR <br> Israel | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3 | Not available |
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Mistral Nemo | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Brazil <br> Hong Kong SAR <br> Israel | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3 | East US 2 <br> East US <br> North Central US <br> South Central US <br> West US <br> West US 3 |

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