Research papers

Research paper

Apertus 1.5: From Open Text Models to Open Multimodal Reasoners

Research paper by Project Apertus and collaborators. Published 2026-10-11. Topics: multimodal reasoning, continued pretraining, tokenizer, supervised finetuning, reinforcement learning with verifiable rewards.

Project Apertus and collaborators (full author list below)

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Research paper

Apertus LLM Family Expansion via Distillation and Quantization

Research paper by Andrei Panferov and collaborators. arXiv record dated 2026-06-10. Research area: Machine learning.

Andrei Panferov, Davit Melikidze, Martin Jaggi, Dan Alistarh

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Research paper

Apertus: Democratizing Open and Compliant LLMs for Global Language Environments

Research paper by Alejandro Hernández-Cano and collaborators. Published 2025-09-17. Topics: large language models, data compliance, multilingual representation, openly available data, robots.txt exclusions.

Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, Angelika Romanou, Antoni-Joan Solergibert, Barna Pasztor, Bettina Messmer, Dhia Garbaya, Eduard Frank Ďurech, Ido Hakimi, Juan García Giraldo, Mete Ismayilzada, Negar Foroutan, Skander Moalla, Tiancheng Chen, Vinko Sabolčec, Yixuan Xu, Michael Aerni, Badr AlKhamissi, Ines Altemir Marinas, Mohammad Hossein Amani, Matin Ansaripour, Ilia Badanin, Harold Benoit, Emanuela Boros, Nicholas Browning, Fabian Bösch, Maximilian Böther, Niklas Canova, Camille Challier, Clement Charmillot, Jonathan Coles, Jan Deriu, Arnout Devos, Lukas Drescher, Daniil Dzenhaliou, Maud Ehrmann, Dongyang Fan, Simin Fan, Silin Gao, Miguel Gila, María Grandury, Diba Hashemi, Alexander Hoyle, Jiaming Jiang, Mark Klein, Andrei Kucharavy, Anastasiia Kucherenko, Frederike Lübeck, Roman Machacek, Theofilos Manitaras, Andreas Marfurt, Kyle Matoba, Simon Matrenok, Henrique Mendoncça, Fawzi Roberto Mohamed, Syrielle Montariol, Luca Mouchel, Sven Najem-Meyer, Jingwei Ni, Gennaro Oliva, Matteo Pagliardini, Elia Palme, Andrei Panferov, Léo Paoletti, Marco Passerini, Ivan Pavlov, Auguste Poiroux, Kaustubh Ponkshe, Nathan Ranchin, Javi Rando, Mathieu Sauser, Jakhongir Saydaliev, Muhammad Ali Sayfiddinov, Marian Schneider, Stefano Schuppli, Marco Scialanga, Andrei Semenov, Kumar Shridhar, Raghav Singhal, Anna Sotnikova, Alexander Sternfeld, Ayush Kumar Tarun, Paul Teiletche, Jannis Vamvas, Xiaozhe Yao, Hao Zhao Alexander Ilic, Ana Klimovic, Andreas Krause, Caglar Gulcehre, David Rosenthal, Elliott Ash, Florian Tramèr, Joost VandeVondele, Livio Veraldi, Martin Rajman, Thomas Schulthess, Torsten Hoefler, Antoine Bosselut, Martin Jaggi, Imanol Schlag

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Research paper

Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian

Research paper by Michael Hoffmann and collaborators. Published 2025-09-06. Topics: trilingual foundation model, Llama 3.1-8B, Llama-GENBA-10B, multilingual corpus, unified tokenizer.

Michael Hoffmann, Jophin John, Stefan Schweter, Gokul Ramakrishnan, Hoi-Fong Mak, Alice Zhang, Dmitry Gaynullin, Nicolay J. Hammer

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Resources

Apertus 1.5: From Open Text Models to Open Multimodal Reasoners

Apertus LLM Family Expansion via Distillation and Quantization

Apertus: Democratizing Open and Compliant LLMs for Global Language Environments

Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian

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