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Mistral Large 4 announced, but weights and license remain unclear

By PulseAugur Editorial · [1 sources] ·

Mistral AI has announced Mistral Large 4, a 1.05 trillion parameter Mixture-of-Experts (MoE) model with 52 billion active parameters, described as open-weight. However, as of October 22, the model's weights are not yet available for download, with its Hugging Face repository currently displaying a countdown. Running Mistral Large 4 locally will require approximately 400GB of RAM, with performance estimates suggesting it will be slower than previous models due to its larger active parameter count. AI

IMPACT The release of Mistral Large 4, despite its delayed availability and unclear licensing, signals continued advancements in large MoE models and potential competition for existing top-tier models.

RANK_REASON Mistral AI announced a new model, Mistral Large 4, with details on its architecture and performance, even though weights are not yet released. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Mistral Large 4 announced, but weights and license remain unclear

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Mistral AI announced a new model, Mistral Large 4, with details on its architecture and performance, even though weights are not yet released. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Alan West ·

    How to Run Mistral Large 4 Locally: 52B Active, Still Needs ~400GB of RAM

    <p>Mistral Large 4 is a 1.05 trillion parameter MoE with 52B active, and Mistral calls it open-weight. As of today, October 22, you can't download a single byte of it. The Hugging Face repo is a countdown page.</p> <p>So "can I run Mistral Large 4 locally?" has two answers. Today…

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