Achieving GPT-4o level performance in astronomy with a specialized 8B-parameter large language model

T Tijmen de Haan Y Yuan-Sen Ting T Tirthankar Ghosal T Tuan Dung Nguyen A Alberto Accomazzi A Azton Wells N Nesar Ramachandra R Rui Pan Z Zechang Sun

Abstract

Abstract AstroSage-Llama-3.1-8B is a domain-specialized natural-language AI assistant tailored for research in astronomy, astrophysics, cosmology, and astronomical instrumentation. Trained on the complete collection of astronomy-related arXiv papers from 2007 to 2024 along with millions of synthetically-generated question-answer pairs and other astronomical literature, AstroSage-Llama-3.1-8B demonstrates remarkable proficiency on a wide range of questions. AstroSage-Llama-3.1-8B scores 80.9% on the AstroMLab-1 benchmark, greatly outperforming all models—proprietary and open-weight—in the 8-billion parameter class, and performing on par with GPT-4o. This achievement demonstrates the potential of domain specialization in AI, suggesting that focused training can yield capabilities exceeding those of much larger, general-purpose models. AstroSage-Llama-3.1-8B is freely available, enabling widespread access to advanced AI capabilities for astronomical education and research.

Article Details

Volume / Issue Vol. 15, Issue 1
Published April 21, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (9)

T

Tijmen de Haan

Y

Yuan-Sen Ting

T

Tirthankar Ghosal

T

Tuan Dung Nguyen

A

Alberto Accomazzi

A

Azton Wells

N

Nesar Ramachandra

R

Rui Pan

Z

Zechang Sun