swiss-ai
/

Apertus-70B-Instruct-2509

@@ -47,11 +47,11 @@ The model is a decoder-only transformer, pretrained on 15T tokens with a staged
 - **Massively Multilingual**: 1811 natively supported languages
 - **Compliant** Apertus is trained while respecting opt-out consent of data owners (even retrospectivey), and avoiding memorization of training data
-For more details refer to our [technical report](https://github.com/swiss-ai/apertus-tech-report/blob/main/Apertus_Tech_Report.pdf)
 ## How to use
-The modeling code for Apertus is available in transformers `v4.56.0`, so make sure to upgrade your transformers version. You can also load the model with the latest `vLLM` which uses transformers as a backend.
 ```bash
 pip install -U transformers
 ```
@@ -179,8 +179,8 @@ [email protected]
 ```bash
 @misc{swissai2025apertus,
   title={{Apertus: Democratizing Open and Compliant LLMs for Global Language Environments}},
-  author={Apertus Team},
   year={2025},
-  howpublished={\url{https://huggingface.co/swiss-ai/Apertus-70B-2509}}
 }
 ```

 - **Massively Multilingual**: 1811 natively supported languages
 - **Compliant** Apertus is trained while respecting opt-out consent of data owners (even retrospectivey), and avoiding memorization of training data
+For more details refer to our [technical report](https://arxiv.org/abs/2509.14233)
 ## How to use
+The modeling code for Apertus is available in transformers `v4.56.0` and later, so make sure to upgrade your transformers version. You can also load the model with the latest `vLLM` which uses transformers as a backend.
 ```bash
 pip install -U transformers
 ```
 ```bash
 @misc{swissai2025apertus,
   title={{Apertus: Democratizing Open and Compliant LLMs for Global Language Environments}},
+  author={Alejandro Hernández-Cano and Alexander Hägele and Allen Hao Huang and Angelika Romanou and Antoni-Joan Solergibert and Barna Pasztor and Bettina Messmer and Dhia Garbaya and Eduard Frank Ďurech and Ido Hakimi and Juan García Giraldo and Mete Ismayilzada and Negar Foroutan and Skander Moalla and Tiancheng Chen and Vinko Sabolčec and Yixuan Xu and Michael Aerni and Badr AlKhamissi and Ines Altemir Marinas and Mohammad Hossein Amani and Matin Ansaripour and Ilia Badanin and Harold Benoit and Emanuela Boros and Nicholas Browning and Fabian Bösch and Maximilian Böther and Niklas Canova and Camille Challier and Clement Charmillot and Jonathan Coles and Jan Deriu and Arnout Devos and Lukas Drescher and Daniil Dzenhaliou and Maud Ehrmann and Dongyang Fan and Simin Fan and Silin Gao and Miguel Gila and María Grandury and Diba Hashemi and Alexander Hoyle and Jiaming Jiang and Mark Klein and Andrei Kucharavy and Anastasiia Kucherenko and Frederike Lübeck and Roman Machacek and Theofilos Manitaras and Andreas Marfurt and Kyle Matoba and Simon Matrenok and Henrique Mendoncça and Fawzi Roberto Mohamed and Syrielle Montariol and Luca Mouchel and Sven Najem-Meyer and Jingwei Ni and Gennaro Oliva and Matteo Pagliardini and Elia Palme and Andrei Panferov and Léo Paoletti and Marco Passerini and Ivan Pavlov and Auguste Poiroux and Kaustubh Ponkshe and Nathan Ranchin and Javi Rando and Mathieu Sauser and Jakhongir Saydaliev and Muhammad Ali Sayfiddinov and Marian Schneider and Stefano Schuppli and Marco Scialanga and Andrei Semenov and Kumar Shridhar and Raghav Singhal and Anna Sotnikova and Alexander Sternfeld and Ayush Kumar Tarun and Paul Teiletche and Jannis Vamvas and Xiaozhe Yao and Hao Zhao Alexander Ilic and Ana Klimovic and Andreas Krause and Caglar Gulcehre and David Rosenthal and Elliott Ash and Florian Tramèr and Joost VandeVondele and Livio Veraldi and Martin Rajman and Thomas Schulthess and Torsten Hoefler and Antoine Bosselut and Martin Jaggi and Imanol Schlag},
   year={2025},
+  howpublished={\url{https://arxiv.org/abs/2509.14233}}
 }
 ```