adding ministral model

Author: msakande

articles/machine-learning/how-to-deploy-models-mistral.md

@@ -19,7 +19,7 @@ In this article, you learn how to use Azure Machine Learning studio to deploy th
 
 Mistral AI offers two categories of models in Azure Machine Learning studio. These models are available in the [model catalog](concept-model-catalog.md).
 
-* __Premium models__: Mistral Large (2402), Mistral Large (2407), and Mistral Small. 
+* __Premium models__: Mistral Large (2402), Mistral Large (2407), Mistral Small, and Ministral-3B. 
 * __Open models__: Mistral Nemo, Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01. 
 
 All the premium models and Mistral Nemo (an open model) can be deployed as serverless APIs with pay-as-you-go token-based billing. The other open models can be deployed to managed computes in your own Azure subscription.
@@ -62,6 +62,17 @@ Mistral Small is:
 - **Multi-lingual by design.** Best-in-class performance in French, German, Spanish, Italian, and English. Dozens of other languages are supported.
 - **Responsible AI compliant.** Efficient guardrails baked in the model, and extra safety layer with the `safe_mode` option.
 
+# [Ministral 3B](#tab/ministral-3b)
+
+Ministral 3B is Mistral AI's Small Language Model (SLM) optimized for edge computing and on-device applications. The model is designed for low-latency and compute-efficient inference; therefore, it is perfect for standard GenAI applications that have real-time requirements and high-volume.
+
+* **Input**: text only
+* **Output**: text only
+* **Number of parameters**: 3.6 billion
+
+The following models are available:
+
+* [Ministral-3B](https://aka.ms/azureai/landing/Ministral-3B)
 
 # [Mistral Nemo](#tab/mistral-nemo)