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Mistral AI

Large 2.0

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Large Language Models
Leading-edge AI readily accessible.
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Updated: Jul 24, 2024 Free + from $14.99

Description

Mistral AI provides AI models that are open-source, placing a priority on efficient computing, practical application, and dependability. Their flagship model, Mistral 7B, is a compact yet potent solution suitable for diverse applications.

Unlike other approaches, Mistral-7B demonstrates inherent coding capabilities and is notable for its flexibility. The solution includes weights and sources, allowing for extensive customization without the need for user data.

The company adheres to a philosophy of open models, valuing open science, community involvement, and freely available software. In line with this, many of their offerings, models, and deployment tools are available under permissive licenses.

Mistral AI welcomes contributions from the user community and aims to advance AI by addressing difficult challenges. In addition to functioning as an advanced AI solution, Mistral AI operates effectively on various cloud platforms and even gaming GPUs, making it widely accessible.

The organization maintains rigorous scientific standards with an innovative team that combines a strong research focus with a proactive business approach.

Pricing Plans

Model
freemium
Packages
1 Package
Price Start From
$14.99
Payment Model
Not specified

Releases

Mistral Large 2 features a context window of 128k and supports numerous languages, including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, as well as over 80 coding languages like Python, Java, C, C++, JavaScript, and Bash.

Mistral Large 2 is engineered for single-node inference, especially for applications requiring long context – its considerable size of 123 billion parameters enables high throughput on a single node. Mistral Large 2 is released under the Mistral Research License, which allows for research and non-commercial modification and use. Commercial applications of Mistral Large 2 that require self-deployment will need a Mistral Commercial License, obtainable by contacting the company.

Mistral Large 2 achieves a new standard in the performance-to-cost ratio for serving on evaluation metrics. Specifically, the pretrained version reaches an accuracy of 84.0% on MMLU, setting a new benchmark on the performance/cost efficiency of open models.

Reviews

Pros & Cons

Pros

Open-source models

Focus on efficient computing

Practicality and reliability

Cons

No dedicated support

Requires manual customization

No integrated hosting

New Released

New Released