What is recorded here?
Released instruction-tuned multilingual models with multilingual data mixtures and expanded evaluation coverage; compared broad 101-language coverage with a later 23-language depth-focused allocation using the same instruction resource.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
One resource/contribution package, not a new invention for each language count or model size. Native people list is the union of two separately documented bylines, not one jointly authored paper. Aya23 reuses the initial instruction mixture and evaluation framework; licensing and language-specific performance limitations remain.
Read the original work
- Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
- Üstün and Aryabumi teams: Aya multilingual instruction and evaluation resource — official research provenance
- Aya 23: Open Weight Releases to Further Multilingual Progress
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Ahmet Üstün; Viraat Aryabumi; Zheng-Xin Yong; Wei-Yin Ko; Daniel D'souza; Gbemileke Onilude; Neel Bhandari; Shivalika Singh; Hui-Lee Ooi; Amr Kayid; Freddie Vargus; Phil Blunsom; Shayne Longpre; Niklas Muennighoff; Marzieh Fadaee; Julia Kreutzer; Sara Hooker; John Dang; Dwarak Talupuru; Saurabh Dash; David Cairuz; Hangyu Lin; Bharat Venkitesh; Madeline Smith; Kelly Marchisio; Sebastian Ruder; Acyr Locatelli; Nick Frosst
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
Location not yet established
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English catalogue narrative
Üstün and Aryabumi teams: Aya multilingual instruction and evaluation resource
Released instruction-tuned multilingual models with multilingual data mixtures and expanded evaluation coverage; compared broad 101-language coverage with a later 23-language depth-focused allocation using the same instruction resource.
Scientific scope
One resource/contribution package, not a new invention for each language count or model size. Native people list is the union of two separately documented bylines, not one jointly authored paper. Aya23 reuses the initial instruction mixture and evaluation framework; licensing and language-specific performance limitations remain.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Ahmet Üstün; Viraat Aryabumi; Zheng-Xin Yong; Wei-Yin Ko; Daniel D'souza; Gbemileke Onilude; Neel Bhandari; Shivalika Singh; Hui-Lee Ooi; Amr Kayid; Freddie Vargus; Phil Blunsom; Shayne Longpre; Niklas Muennighoff; Marzieh Fadaee; Julia Kreutzer; Sara Hooker; John Dang; Dwarak Talupuru; Saurabh Dash; David Cairuz; Hangyu Lin; Bharat Venkitesh; Madeline Smith; Kelly Marchisio; Sebastian Ruder; Acyr Locatelli; Nick Frosst
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.