DS1 spectrogram: Ministral 3

Ministral 3

January 13, 20262601.08584

Authors

Nathan Grinsztajn,Gabrielle Berrada,Maximilian Augustin,Xinghui Li,Faruk Ahmed

Abstract

We introduce the Ministral 3 series, a family of parameter-efficient dense language models designed for compute and memory constrained applications, available in three model sizes: 3B, 8B, and 14B parameters. For each model size, we release three variants: a pretrained base model for general-purpose use, an instruction finetuned, and a reasoning model for complex problem-solving.

In addition, we present our recipe to derive the Ministral 3 models through Cascade Distillation, an iterative pruning and continued training with distillation technique. Each model comes with image understanding capabilities, all under the Apache 2.0 license.

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