Merge pull request #3634 from MicrosoftDocs/main

3/20/2025 AM Publish

Author: Taojunshen

articles/ai-foundry/concepts/deployments-overview.md

@@ -5,7 +5,7 @@ description: Learn about deploying models in Azure AI Foundry portal.
 manager: scottpolly
 ms.service: azure-ai-foundry
 ms.topic: concept-article
-ms.date: 10/21/2024
+ms.date: 3/20/2024
 ms.reviewer: fasantia
 ms.author: mopeakande
 author: msakande

articles/ai-foundry/concepts/models-featured.md

@@ -246,16 +246,21 @@ For more examples of how to use Phi-3 family models, see the following examples:
 
 ## Mistral AI
 
-Mistral AI offers two categories of models: premium models including Mistral Large and Mistral Small and open models including Mistral Nemo.
+Mistral AI offers two categories of models, namely: 
+
+- _Premium models_: These include Mistral Large, Mistral Small, and Ministral 3B models, and are available as serverless APIs with pay-as-you-go token-based billing.  
+- _Open models_: These include Mistral-small-2503, Codestral, and Mistral Nemo (that are available as serverless APIs with pay-as-you-go token-based billing), and [Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01](../how-to/deploy-models-mistral-open.md)(that are available to download and run on self-hosted managed endpoints).
+
 
 | Model  | Type | Capabilities |
 | ------ | ---- | --- | 
 | [Codestral-2501](https://ai.azure.com/explore/models/Codestral-2501/version/2/registry/azureml-mistral) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (262,144 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text |
 | [Ministral-3B](https://ai.azure.com/explore/models/Ministral-3B/version/1/registry/azureml-mistral) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (131,072 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Mistral-Nemo](https://ai.azure.com/explore/models/Mistral-Nemo/version/1/registry/azureml-mistral) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (131,072 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Mistral-Large-2411](https://ai.azure.com/explore/models/Mistral-Large-2411/version/2/registry/azureml-mistral) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (128,000 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
-| [Mistral-large-2407](https://ai.azure.com/explore/models/Mistral-large-2407/version/1/registry/azureml-mistral) <br /> (legacy) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (131,072 tokens) <br /> - **Output:**  (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON  |
+| [Mistral-large-2407](https://ai.azure.com/explore/models/Mistral-large-2407/version/1/registry/azureml-mistral) <br /> (deprecated) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (131,072 tokens) <br /> - **Output:**  (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON  |
 | [Mistral-large](https://ai.azure.com/explore/models/Mistral-large/version/1/registry/azureml-mistral) <br /> (deprecated) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (32,768 tokens) <br /> - **Output:**  (4,096 tokens) <br />  - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
+| [Mistral-small-2503](https://aka.ms/aistudio/landing/mistral-small-2503) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text and images (131,072 tokens), <br> image-based tokens are 16px x 16px <br> blocks of the original images <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Mistral-small](https://ai.azure.com/explore/models/Mistral-small/version/1/registry/azureml-mistral) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (32,768 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 
 See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=mistral).

articles/ai-foundry/how-to/develop/vscode.md

@@ -1,7 +1,7 @@
 ---
-title: Work with Azure AI Foundry projects in VS Code
+title: Work with Azure AI Foundry projects in VS Code containers
 titleSuffix: Azure AI Foundry
-description: This article provides instructions on how to get started with Azure AI Foundry projects in VS Code.
+description: This article provides instructions on how to get started with Azure AI Foundry projects in VS Code containers.
 manager: scottpolly
 ms.service: azure-ai-foundry
 ms.custom:
@@ -13,10 +13,10 @@ ms.date: 02/14/2025
 ms.reviewer: lebaro
 ms.author: sgilley
 author: sdgilley
-# customer intent: As a Developer, I want to use Azure AI Foundry projects in VS Code.
+# customer intent: As a Developer, I want to use Azure AI Foundry projects in VS Code containers.
 ---
 
-# Get started with Azure AI Foundry projects in VS Code (Preview)
+# Get started with Azure AI Foundry projects in VS Code containers (Preview)
 
 [!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 

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

@@ -86,7 +86,7 @@ Healthcare AI family Models | MedImageParse<BR>  MedImageInsight<BR>  CxrReportG
 JAIS | Not available | jais-30b-chat
 Meta Llama family models | Llama-3.3-70B-Instruct<BR> 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-3.3-70B-Instruct<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>
 Microsoft Phi family models | Phi-3-mini-4k-Instruct <br> Phi-3-mini-128k-Instruct <br> Phi-3-small-8k-Instruct <br> Phi-3-small-128k-Instruct <br> Phi-3-medium-4k-instruct <br> Phi-3-medium-128k-instruct <br> Phi-3-vision-128k-Instruct <br> Phi-3.5-mini-Instruct <br> Phi-3.5-vision-Instruct <br> Phi-3.5-MoE-Instruct <br> Phi-4 <br> Phi-4-mini-instruct <br> Phi-4-multimodal-instruct | Phi-3-mini-4k-Instruct <br> Phi-3-mini-128k-Instruct <br> Phi-3-small-8k-Instruct <br> Phi-3-small-128k-Instruct <br> Phi-3-medium-4k-instruct <br> Phi-3-medium-128k-instruct <br> <br> Phi-3.5-mini-Instruct <br> Phi-3.5-vision-Instruct <br> Phi-3.5-MoE-Instruct <br> Phi-4 <br> Phi-4-mini-instruct <br> Phi-4-multimodal-instruct
-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 (2411) <br> Mistral-large (2407) <br> Mistral-large (2402) <br> Mistral-small <br> Ministral-3B <br> Mistral-NeMo <br> Codestral-2501
+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 (2411) <br> Mistral-large (2407) <br> Mistral-large (2402) <br> Mistral-small-2503 <br> Mistral-small <br> Ministral-3B <br> Mistral-NeMo <br> Codestral-2501
 Nixtla | Not available | TimeGEN-1
 NTT DATA | Not available | tsuzumi-7b
 Stability AI | Not available | Stable Diffusion 3.5 Large <br> Stable Image Core <br> Stable Image Ultra

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

@@ -89,9 +89,9 @@ Phi-3-Medium-4K-Instruct  <br>  Phi-3-Medium-128K-Instruct  | Not applicable | E
 |---------|---------|---------|---------|
 Codestral-2501    | [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 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          | East US 2     |
-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 Small 2503 <br> 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       |
 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           | East US 2       |
-Mistral Large <br>  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 (2407) <br>  Mistral-Large   | [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 (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           | East US 2       |
 
 

articles/ai-foundry/toc.yml

@@ -326,7 +326,7 @@ items:
       href: /azure/search/tutorial-rag-build-solution?context=/azure/ai-foundry/context/context
   - name: Develop with code
     items:
-    - name: Work with projects in VS Code
+    - name: Work with projects in VS Code containers
       href: how-to/develop/vscode.md
     - name: Start with an AI template
       href: how-to/develop/ai-template-get-started.md

articles/machine-learning/how-to-troubleshoot-kubernetes-extension.md

@@ -87,16 +87,16 @@ To check the Helm history of the Azure ML extension, use the following commands:
 helm list -n azureml
 
 # Get helm history 
-# Note: <release-name> can be retrieved from the output of the previous command
-helm history -n azureml <release-name>
+# Note: <release-name> should be the name of your azure ml extension and can be retrieved from the output of the previous command
+helm history -n <extension-namespace> azureml
 ```
 There is a Helm history limit of 10 revisions, but this limit applies only to revisions in a non-transient state.
 If you see multiple revisions in a pending-rollback or pending-upgrade state in the Helm history output, run the script below to clean up the Helm history on the cluster:
 ```
 #!/bin/bash
 
 # Set release name and namespace
-RELEASE_NAME=$1 # release_name is the name of the azure ml extension helm release 
+RELEASE_NAME=$1 # release-name is the name of the azure ml extension helm release 
 NAMESPACE=$2 # namespace is the azure ml extension's namespace. Default value is azureml 
 
 # Validate input
@@ -136,7 +136,7 @@ How to run the script:
 ```
 chmod +x delete_stuck_helm_secrets.sh
 
-./delete_stuck_helm_secrets.sh <release_name> <extension_namespace>
+./delete_stuck_helm_secrets.sh <release-name> <extension-namespace>
 ```
 
 ### Error Code of HealthCheck 

articles/search/search-sku-tier.md

@@ -59,7 +59,6 @@ Currently, several regions are capacity-constrained for specific tiers and can't
 
 | Region | Disabled tier (SKU) due to over-capacity | Suggested alternative |
 |--------|------------------------------------------|-----------------------|
-| France Central | S2, S3, L1, L2| Sweden Central, West Europe|
 | North Europe | S2, S3, L1, L2 | Sweden Central, West Europe|
 
 ## Feature availability by tier