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July 24, 2024
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Text Magistral Small 1.2Magistral Medium 1.2Ministral 8BMinistral 3BMagistral MediumMagistral SmallMistral Small 3.2Mistral Medium 3Mistral NeMoMistral Large 2
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2,858 mistral.ai

Overview

Mistral AI offers open-source AI models, with an emphasis on compute efficiency, utility, and trustworthiness. The main product, Mistral 7B, stands as a small yet powerful model adaptable to an array of use-cases.

Unlike other solutions, Mistral-7B provides natural coding abilities and it is remarkable for its adaptability. The product comes with weights and sources, allowing for maximum customization without requiring user data.

The firm follows a principle of open models, believing in the value of open science, community participation, and free software. As part of this commitment, many of their products, models, and deployment tools are released under liberal licenses.

Mistral AI encourages contributions from the user community and aims at driving AI forward by addressing challenging problems. Along with operating as an advanced AI solution, Mistral AI works well on any cloud and even gaming GPUs, making it broadly accessible.

The company maintains high scientific standards with a creative team that combines a strong research focus with a dynamic business mindset.

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Mistral AI Large 2
Jul 24, 2024
Mistral Large 2 has a 128k context window and supports dozens of languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with 80+ coding languages including Python, Java, C, C++, JavaScript, and Bash.

Mistral Large 2 is designed for single-node inference with long-context applications in mind – its size of 123 billion parameters allows it to run at large throughput on a single node. We are releasing Mistral Large 2 under the Mistral Research License, that allows usage and modification for research and non-commercial usages. For commercial usage of Mistral Large 2 requiring self-deployment, a Mistral Commercial License must be acquired by contacting us.

Mistral Large 2 sets a new frontier in terms of performance / cost of serving on evaluation metrics. In particular, on MMLU, the pretrained version achieves an accuracy of 84.0%, and sets a new point on the performance/cost Pareto front of open models.
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