| Title: |
Ministral 3 |
| Authors: |
Liu, Alexander H.; Khandelwal, Kartik; Subramanian, Sandeep; Jouault, Victor; Rastogi, Abhinav; Sadé, Adrien; Jeffares, Alan; Jiang, Albert; Cahill, Alexandre; Gavaudan, Alexandre; Sablayrolles, Alexandre; Héliou, Amélie; You, Amos; Ehrenberg, Andy; Lo, Andy; Eliseev, Anton; Calvi, Antonia; Sooriyarachchi, Avinash; Bout, Baptiste; Rozière, Baptiste; De Monicault, Baudouin; Lanfranchi, Clémence; Barreau, Corentin; Courtot, Cyprien; Grattarola, Daniele; Dabert, Darius; Casas, Diego de las; Chane-Sane, Elliot; Ahmed, Faruk; Berrada, Gabrielle; Ecrepont, Gaëtan; Guinet, Gauthier; Novikov, Georgii; Kunsch, Guillaume; Lample, Guillaume; Martin, Guillaume; Gupta, Gunshi; Ludziejewski, Jan; Rute, Jason; Studnia, Joachim; Amar, Jonas; Delas, Joséphine; Roberts, Josselin Somerville; Yadav, Karmesh; Chandu, Khyathi; Jain, Kush; Aitchison, Laurence; Fainsin, Laurent; Blier, Léonard; Zhao, Lingxiao; Martin, Louis; Saulnier, Lucile; Gao, Luyu; Buyl, Maarten; Jennings, Margaret; Pellat, Marie; Prins, Mark; Poirée, Mathieu; Guillaumin, Mathilde; Dinot, Matthieu; Futeral, Matthieu; Darrin, Maxime; Augustin, Maximilian; Chiquier, Mia; Schimpf, Michel; Grinsztajn, Nathan; Gupta, Neha; Raghuraman, Nikhil; Bousquet, Olivier; Duchenne, Olivier; Wang, Patricia; von Platen, Patrick; Jacob, Paul; Wambergue, Paul; Kurylowicz, Paula; Muddireddy, Pavankumar Reddy; Chagniot, Philomène; Stock, Pierre; Agrawal, Pravesh; Torroba, Quentin; Sauvestre, Romain; Soletskyi, Roman; Menneer, Rupert; Vaze, Sagar; Barry, Samuel; Gandhi, Sanchit; Waghjale, Siddhant; Gandhi, Siddharth; Ghosh, Soham; Mishra, Srijan; Aithal, Sumukh; Antoniak, Szymon; Scao, Teven Le; Cachet, Théo; Sorg, Theo Simon; Lavril, Thibaut; Saada, Thiziri Nait; Chabal, Thomas; Foubert, Thomas; Robert, Thomas; Wang, Thomas; Lawson, Tim; Bewley, Tom; Edwards, Tom; Jamil, Umar; Tomasini, Umberto; Nemychnikova, Valeriia; Phung, Van; Maladière, Vincent; Richard, Virgile; Bouaziz, Wassim; Li, Wen-Ding; Marshall, William; Li, Xinghui; Yang, Xinyu; Ouahidi, Yassine El; Wang, Yihan; Tang, Yunhao; Ramzi, Zaccharie |
| Publication Year: |
2026 |
| Collection: |
ArXiv.org (Cornell University Library) |
| Subject Terms: |
Computation and Language |
| Description: |
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. ; Release page: https://mistral.ai/news/mistral-3 ; Models available at https://huggingface.co/collections/mistralai/ministral-3 |
| Document Type: |
text |
| Language: |
unknown |
| Relation: |
http://arxiv.org/abs/2601.08584 |
| Availability: |
http://arxiv.org/abs/2601.08584 |
| Accession Number: |
edsbas.EE2DBD1 |
| Database: |
BASE |