Ministral 3
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Mistral AI releases Ministral 3, a family of compact language models (3B, 8B, 14B parameters) designed for compute and memory constrained applications from mobile to edge deployments. Created through Cascade Distillation (iterative pruning with continued training), each size offers pretrained, instruction-finetuned, and reasoning variants with integrated image understanding, released under Apache 2.0.
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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