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Main Authors: Lambert, Nathan, Brand, Florian
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.07190
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author Lambert, Nathan
Brand, Florian
author_facet Lambert, Nathan
Brand, Florian
contents We present a comprehensive adoption snapshot of the leading open language models and who is building them, focusing on the ~1.5K mainline open models from the likes of Alibaba's Qwen, DeepSeek, Meta's Llama, that are the foundation of an ecosystem crucial to researchers, entrepreneurs, and policy advisors. We document a clear trend where Chinese models overtook their counterparts built in the U.S. in the summer of 2025 and subsequently widened the gap over their western counterparts. We study a mix of Hugging Face downloads and model derivatives, inference market share, performance metrics and more to make a comprehensive picture of the ecosystem.
format Preprint
id arxiv_https___arxiv_org_abs_2604_07190
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The ATOM Report: Measuring the Open Language Model Ecosystem
Lambert, Nathan
Brand, Florian
Computers and Society
Artificial Intelligence
Machine Learning
We present a comprehensive adoption snapshot of the leading open language models and who is building them, focusing on the ~1.5K mainline open models from the likes of Alibaba's Qwen, DeepSeek, Meta's Llama, that are the foundation of an ecosystem crucial to researchers, entrepreneurs, and policy advisors. We document a clear trend where Chinese models overtook their counterparts built in the U.S. in the summer of 2025 and subsequently widened the gap over their western counterparts. We study a mix of Hugging Face downloads and model derivatives, inference market share, performance metrics and more to make a comprehensive picture of the ecosystem.
title The ATOM Report: Measuring the Open Language Model Ecosystem
topic Computers and Society
Artificial Intelligence
Machine Learning
url https://arxiv.org/abs/2604.07190