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Mistral 3 AI Models: Large, Small, & Open Source Launch

Mistral AI Unveils New Generation of Open-Source Models: ⁣From Ultra-large to ‌Lightweight

Published: april 29, 2024 | Last Updated: April 29, 2024

New ⁢Models Released ​Under Apache 2.0 License

Mistral‌ AI has ⁤announced the release of its latest suite of large ‍language models, including the⁣ flagship ‘Mistral Large 3’ and a series of smaller,​ dense models ⁤- 14B, 8B, and 3B parameters. ‍Crucially, ‌all models are available to the developer community under the permissive Apache 2.0 license, enabling free use and modification.

Mistral⁤ Large⁢ 3: A ​Powerful Mixture-of-Experts Model

The core ⁢of this release, ‍Mistral Large⁣ 3, is a sparse mixture-of-experts (SMoE) ‌model boasting⁢ 41 ⁣billion ⁤active parameters from a total of 675 billion​ parameters. ​ According to ⁤Mistral AI, the model was trained from scratch utilizing⁣ a ⁢substantial infrastructure of 3,000 NVIDIA H200 gpus.

Performance benchmarks,⁢ as ‌reported by Mistral​ AI, place the ⁤model 2nd in the open-source non-inferential ‍model category and 6th overall among all open-source models on the⁤ LM Arena leaderboard. The ‍company claims it achieves performance comparable ⁤to leading open-weight models ⁤in general tasks, ⁣and excels in image understanding and multilingual capabilities beyond English and Chinese.

Ministral 3 Series: Optimized for Edge and Local Deployment

Complementing ⁢the flagship model, the ministral 3 series (3B, 8B, 14B) is designed for deployment in resource-constrained environments, such as edge devices ‍and local applications. Each model size is offered in‌ Base, command-tuned, and inference⁣ versions. All ⁣models within the series incorporate image understanding and multilingual ⁤support.

The ​inference conversion ‌models within the Ministral ‌3 series are specifically engineered for complex problem-solving through extended reasoning. Notably, Mistral AI reports that the 14B model successfully solved 85% of the problems ⁢presented in‍ the AIME 2025 mathematics competition.

Source:⁣ Mistral AI Release Notes

I hope you found this article⁣ insightful! if you enjoyed learning about Mistral AI’s new models,⁤ please⁣ share it with your network. I’d love to‍ hear your thoughts in ⁣the comments below, and don’t forget to ⁢subscribe to World Today News for the‌ latest updates in AI and technology.

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