A collection of notebooks and samples to get started with Mistral models on AWS. Open a PR if you would like to contribute! 🔀
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In Depth Exploration of Pixtral Capabilities
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Leverage Nemo 12b & Athena for Text-to-SQL
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RAG w/ LlamaIndex
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Fine-tune Mixtral 8*7b with PyTorch FSDP and Q-Lora on Amazon SageMaker!
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Latest Releases:
- Pixtral Capabilities & Deployment Guide
- Text-to-SQL Query Generator Using Mistral Nemo 12B and Amazon SageMaker
- Large 2 JSON Mode Deep Dive
- Agentic RAG application using the Mistral Large 2 Model and LlamaIndex
- Compile, Deploy, and Benchmark Mathstral on Inferentia2 with Optimum Neuron and SageMaker
- Please visit Amazon Bedrock user guide on how to enable model access.
- The notebooks are executed from SageMaker studio with Data Science 3.0 image.
See CONTRIBUTING for more information.
- AWS
- Mistral
This library is licensed under the MIT-0 License. See the LICENSE file.