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48 lines
1.4 KiB
Markdown
48 lines
1.4 KiB
Markdown
# azure/mistral (Azure Mistral Models)
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This example demonstrates how to use Mistral models on Azure AI Foundry with promptfoo.
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You can run this example with:
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```bash
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npx promptfoo@latest init --example azure/mistral
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cd azure/mistral
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```
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## Setup
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1. Deploy Mistral models in Azure AI Foundry
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2. Update `promptfooconfig.yaml` with your deployment name and API host
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3. Set your environment variables:
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```bash
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export AZURE_API_KEY=your-api-key
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```
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## Available Mistral Models
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| Model | Description |
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| -------------------- | -------------------------------- |
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| `Mistral-Large-3` | Mistral Large 3 - Most capable |
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| `Mistral-Large-2411` | Mistral Large - Previous gen |
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| `mistral-small-2503` | Mistral Small - Fast, efficient |
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| `Pixtral-Large-2411` | Pixtral Large - Vision + text |
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| `Ministral-3B-2410` | Ministral 3B - Fast, lightweight |
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| `Mistral-Nemo` | Mistral Nemo - Balanced |
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## Running the Example
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```bash
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npx promptfoo@latest eval
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npx promptfoo@latest view
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```
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## Configuration
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The example compares Mistral Large 3 and Mistral Small 2503 on text generation tasks. This helps evaluate the trade-off between model capacity, speed, and quality.
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## Documentation
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- [Azure Provider Documentation](https://promptfoo.dev/docs/providers/azure/)
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- [Mistral on Azure](https://azure.microsoft.com/en-us/products/ai-services/ai-foundry/)
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