more Mistral updates

Author: msakande

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

@@ -1,7 +1,7 @@
 ---
-title: How to use Mistral premium chat models with Azure AI Studio
+title: How to use Mistral premium chat models with Azure AI Foundry
 titleSuffix: Azure AI Foundry
-description: Learn how to use Mistral premium chat models with Azure AI Studio.
+description: Learn how to use Mistral premium chat models with Azure AI Foundry.
 ms.service: azure-ai-studio
 manager: scottpolly
 ms.topic: how-to
@@ -33,7 +33,7 @@ The Mistral premium chat models include the following models:
 
 Mistral Large models are Mistral AI's most advanced Large Language Models (LLM). They can be used on any language-based task, thanks to their state-of-the-art reasoning, knowledge, and coding capabilities. Several Mistral Large model variants are available, and their attributes are as follows.
 
-Attributes of **Mistral Large** include:
+Attributes of **Mistral Large (2402)**, also abbreviated as Mistral Large, include:
 
 * **Specialized in RAG**. Crucial information isn't lost in the middle of long context windows (up to 32-K tokens).
 * **Strong in coding**. Code generation, review, and comments. Supports all mainstream coding languages.
@@ -99,15 +99,15 @@ The following models are available:
 
 ## Prerequisites
 
-To use Mistral premium chat models with Azure AI Studio, you need the following prerequisites:
+To use Mistral premium chat models with Azure AI Foundry, you need the following prerequisites:
 
 ### A model deployment
 
 **Deployment to serverless APIs**
 
 Mistral premium chat models can be deployed to serverless API endpoints with pay-as-you-go billing. This kind of deployment provides a way to consume models as an API without hosting them on your subscription, while keeping the enterprise security and compliance that organizations need. 
 
-Deployment to a serverless API endpoint doesn't require quota from your subscription. If your model isn't deployed already, use the Azure AI Studio, Azure Machine Learning SDK for Python, the Azure CLI, or ARM templates to [deploy the model as a serverless API](deploy-models-serverless.md).
+Deployment to a serverless API endpoint doesn't require quota from your subscription. If your model isn't deployed already, use the Azure AI Foundry portal, Azure Machine Learning SDK for Python, the Azure CLI, or ARM templates to [deploy the model as a serverless API](deploy-models-serverless.md).
 
 > [!div class="nextstepaction"]
 > [Deploy the model to serverless API endpoints](deploy-models-serverless.md)
@@ -133,7 +133,7 @@ Read more about the [Azure AI inference package and reference](https://aka.ms/az
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Mistral premium chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Foundry with the same code and structure, including Mistral premium chat models.
 
 ### Create a client to consume the model
 
@@ -523,7 +523,7 @@ The Mistral premium chat models include the following models:
 
 Mistral Large models are Mistral AI's most advanced Large Language Models (LLM). They can be used on any language-based task, thanks to their state-of-the-art reasoning, knowledge, and coding capabilities. Several Mistral Large model variants are available, and their attributes are as follows.
 
-Attributes of **Mistral Large** include:
+Attributes of **Mistral Large (2402)**, also abbreviated as Mistral Large, include:
 
 * **Specialized in RAG**. Crucial information isn't lost in the middle of long context windows (up to 32-K tokens).
 * **Strong in coding**. Code generation, review, and comments. Supports all mainstream coding languages.
@@ -589,15 +589,15 @@ The following models are available:
 
 ## Prerequisites
 
-To use Mistral premium chat models with Azure AI Studio, you need the following prerequisites:
+To use Mistral premium chat models with Azure AI Foundry, you need the following prerequisites:
 
 ### A model deployment
 
 **Deployment to serverless APIs**
 
 Mistral premium chat models can be deployed to serverless API endpoints with pay-as-you-go billing. This kind of deployment provides a way to consume models as an API without hosting them on your subscription, while keeping the enterprise security and compliance that organizations need. 
 
-Deployment to a serverless API endpoint doesn't require quota from your subscription. If your model isn't deployed already, use the Azure AI Studio, Azure Machine Learning SDK for Python, the Azure CLI, or ARM templates to [deploy the model as a serverless API](deploy-models-serverless.md).
+Deployment to a serverless API endpoint doesn't require quota from your subscription. If your model isn't deployed already, use the Azure AI Foundry portal, Azure Machine Learning SDK for Python, the Azure CLI, or ARM templates to [deploy the model as a serverless API](deploy-models-serverless.md).
 
 > [!div class="nextstepaction"]
 > [Deploy the model to serverless API endpoints](deploy-models-serverless.md)
@@ -621,7 +621,7 @@ npm install @azure-rest/ai-inference
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Mistral premium chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Foundry with the same code and structure, including Mistral premium chat models.
 
 ### Create a client to consume the model
 
@@ -1032,7 +1032,7 @@ The Mistral premium chat models include the following models:
 
 Mistral Large models are Mistral AI's most advanced Large Language Models (LLM). They can be used on any language-based task, thanks to their state-of-the-art reasoning, knowledge, and coding capabilities. Several Mistral Large model variants are available, and their attributes are as follows.
 
-Attributes of **Mistral Large** include:
+Attributes of **Mistral Large (2402)**, also abbreviated as Mistral Large, include:
 
 * **Specialized in RAG**. Crucial information isn't lost in the middle of long context windows (up to 32-K tokens).
 * **Strong in coding**. Code generation, review, and comments. Supports all mainstream coding languages.
@@ -1098,15 +1098,15 @@ The following models are available:
 
 ## Prerequisites
 
-To use Mistral premium chat models with Azure AI Studio, you need the following prerequisites:
+To use Mistral premium chat models with Azure AI Foundry, you need the following prerequisites:
 
 ### A model deployment
 
 **Deployment to serverless APIs**
 
 Mistral premium chat models can be deployed to serverless API endpoints with pay-as-you-go billing. This kind of deployment provides a way to consume models as an API without hosting them on your subscription, while keeping the enterprise security and compliance that organizations need. 
 
-Deployment to a serverless API endpoint doesn't require quota from your subscription. If your model isn't deployed already, use the Azure AI Studio, Azure Machine Learning SDK for Python, the Azure CLI, or ARM templates to [deploy the model as a serverless API](deploy-models-serverless.md).
+Deployment to a serverless API endpoint doesn't require quota from your subscription. If your model isn't deployed already, use the Azure AI Foundry portal, Azure Machine Learning SDK for Python, the Azure CLI, or ARM templates to [deploy the model as a serverless API](deploy-models-serverless.md).
 
 > [!div class="nextstepaction"]
 > [Deploy the model to serverless API endpoints](deploy-models-serverless.md)
@@ -1153,7 +1153,7 @@ using System.Reflection;
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Mistral premium chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Foundry with the same code and structure, including Mistral premium chat models.
 
 ### Create a client to consume the model
 
@@ -1563,7 +1563,7 @@ The Mistral premium chat models include the following models:
 
 Mistral Large models are Mistral AI's most advanced Large Language Models (LLM). They can be used on any language-based task, thanks to their state-of-the-art reasoning, knowledge, and coding capabilities. Several Mistral Large model variants are available, and their attributes are as follows.
 
-Attributes of **Mistral Large** include:
+Attributes of **Mistral Large (2402)**, also abbreviated as Mistral Large, include:
 
 * **Specialized in RAG**. Crucial information isn't lost in the middle of long context windows (up to 32-K tokens).
 * **Strong in coding**. Code generation, review, and comments. Supports all mainstream coding languages.
@@ -1629,15 +1629,15 @@ The following models are available:
 
 ## Prerequisites
 
-To use Mistral premium chat models with Azure AI Studio, you need the following prerequisites:
+To use Mistral premium chat models with Azure AI Foundry, you need the following prerequisites:
 
 ### A model deployment
 
 **Deployment to serverless APIs**
 
 Mistral premium chat models can be deployed to serverless API endpoints with pay-as-you-go billing. This kind of deployment provides a way to consume models as an API without hosting them on your subscription, while keeping the enterprise security and compliance that organizations need. 
 
-Deployment to a serverless API endpoint doesn't require quota from your subscription. If your model isn't deployed already, use the Azure AI Studio, Azure Machine Learning SDK for Python, the Azure CLI, or ARM templates to [deploy the model as a serverless API](deploy-models-serverless.md).
+Deployment to a serverless API endpoint doesn't require quota from your subscription. If your model isn't deployed already, use the Azure AI Foundry portal, Azure Machine Learning SDK for Python, the Azure CLI, or ARM templates to [deploy the model as a serverless API](deploy-models-serverless.md).
 
 > [!div class="nextstepaction"]
 > [Deploy the model to serverless API endpoints](deploy-models-serverless.md)
@@ -1654,7 +1654,7 @@ Models deployed with the [Azure AI model inference API](https://aka.ms/azureai/m
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Mistral premium chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Foundry with the same code and structure, including Mistral premium chat models.
 
 ### Create a client to consume the model
 
@@ -2229,7 +2229,7 @@ For more examples of how to use Mistral models, see the following examples and t
 
 Quota is managed per deployment. Each deployment has a rate limit of 200,000 tokens per minute and 1,000 API requests per minute. However, we currently limit one deployment per model per project. Contact Microsoft Azure Support if the current rate limits aren't sufficient for your scenarios.
 
-Mistral models deployed as a serverless API are offered by MistralAI through the Azure Marketplace and integrated with Azure AI Studio for use. You can find the Azure Marketplace pricing when deploying the model.
+Mistral models deployed as a serverless API are offered by MistralAI through the Azure Marketplace and integrated with Azure AI Foundry for use. You can find the Azure Marketplace pricing when deploying the model.
 
 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; however, multiple meters are available to track each scenario independently.
 

articles/ai-studio/how-to/model-catalog-overview.md

@@ -77,7 +77,7 @@ The following list contains Serverless API models. For Azure OpenAI models, see
 Model | Managed compute | Serverless API (pay-per-token)
 --|--|--
 Llama family models | Llama-3.2-3B-Instruct<BR>  Llama-3.2-1B-Instruct<BR>  Llama-3.2-1B<BR>  Llama-3.2-90B-Vision-Instruct<BR>  Llama-3.2-11B-Vision-Instruct<BR>  Llama-3.1-8B-Instruct<BR>  Llama-3.1-8B<BR>  Llama-3.1-70B-Instruct<BR>  Llama-3.1-70B<BR>  Llama-3-8B-Instruct<BR>  Llama-3-70B<BR>  Llama-3-8B<BR>  Llama-Guard-3-1B<BR>  Llama-Guard-3-8B<BR>  Llama-Guard-3-11B-Vision<BR>  Llama-2-7b<BR>  Llama-2-70b<BR>  Llama-2-7b-chat<BR>  Llama-2-13b-chat<BR>  CodeLlama-7b-hf<BR>  CodeLlama-7b-Instruct-hf<BR>  CodeLlama-34b-hf<BR>  CodeLlama-34b-Python-hf<BR>  CodeLlama-34b-Instruct-hf<BR>  CodeLlama-13b-Instruct-hf<BR>  CodeLlama-13b-Python-hf<BR>  Prompt-Guard-86M<BR>  CodeLlama-70b-hf<BR> | Llama-3.2-90B-Vision-Instruct<br>  Llama-3.2-11B-Vision-Instruct<br>  Llama-3.1-8B-Instruct<br>  Llama-3.1-70B-Instruct<br>  Llama-3.1-405B-Instruct<br>  Llama-3-8B-Instruct<br>  Llama-3-70B-Instruct<br>  Llama-2-7b<br>  Llama-2-7b-chat<br>  Llama-2-70b<br>  Llama-2-70b-chat<br>  Llama-2-13b<br>  Llama-2-13b-chat<br>
-Mistral family models | mistralai-Mixtral-8x22B-v0-1 <br> mistralai-Mixtral-8x22B-Instruct-v0-1 <br> mistral-community-Mixtral-8x22B-v0-1 <br> mistralai-Mixtral-8x7B-v01 <br> mistralai-Mistral-7B-Instruct-v0-2 <br> mistralai-Mistral-7B-v01 <br> mistralai-Mixtral-8x7B-Instruct-v01 <br> mistralai-Mistral-7B-Instruct-v01 | Mistral-large (2402) <br> Mistral-large (2407) <br> Mistral-small <br> Ministral-3B <br> Mistral-NeMo
+Mistral family models | mistralai-Mixtral-8x22B-v0-1 <br> mistralai-Mixtral-8x22B-Instruct-v0-1 <br> mistral-community-Mixtral-8x22B-v0-1 <br> mistralai-Mixtral-8x7B-v01 <br> mistralai-Mistral-7B-Instruct-v0-2 <br> mistralai-Mistral-7B-v01 <br> mistralai-Mixtral-8x7B-Instruct-v01 <br> mistralai-Mistral-7B-Instruct-v01 | Mistral-large (2402) <br> Mistral-large (2407) <br> Mistral-large (2411) <br> Mistral-small <br> Ministral-3B <br> Mistral-NeMo
 Cohere family models | Not available | Cohere-command-r-plus-08-2024 <br> Cohere-command-r-08-2024 <br> Cohere-command-r-plus <br> Cohere-command-r <br> Cohere-embed-v3-english <br> Cohere-embed-v3-multilingual <br> Cohere-rerank-v3-english <br> Cohere-rerank-v3-multilingual
 JAIS | Not available | jais-30b-chat
 AI21 family models | Not available | Jamba-1.5-Mini <br> Jamba-1.5-Large

articles/ai-studio/includes/region-availability-maas.md

@@ -60,8 +60,8 @@ Phi-3-Medium-4K-Instruct  <br>  Phi-3-Medium-128K-Instruct  | Not applicable | E
 Mistral Nemo     | [Microsoft Managed Countries](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)  <br> Brazil <br> Hong Kong <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       |
 Ministral-3B     | [Microsoft Managed Countries](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)   <br> Brazil <br> Hong Kong <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       |
 Mistral Small     | [Microsoft Managed Countries](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)   <br> Brazil <br> Hong Kong <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       |
-Mistral Large (2402)     | [Microsoft Managed Countries](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)  <br> Brazil <br> Hong Kong <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       |
-Mistral-Large (2407)     | [Microsoft Managed Countries](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)   <br> Brazil <br> Hong Kong <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       |
+Mistral Large (2402) <br>  Mistral-Large (2407) <br> Mistral-Large (2411)    | [Microsoft Managed Countries](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)  <br> Brazil <br> Hong Kong <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       |
+
 
 
 ### Nixtla models