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This article details the launch of new open-source tools for tracking the adoption metrics and performance data of large language models within the Hugging Face ecosystem. By providing curated views on inference tokens and geographic download statistics, these resources directly support the measurement and analysis of machine learning model deployment trends.

Sources coveringInterconnects, InfoQ

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Introducing our Artifacts Hub and Adoption Dashboard

InterconnectsAugust 3, 20263 min read

Scaling our curation and measurement of the open ecosystem.

No voiceover for this quick post, but a quick video version is here. We’re expanding our open models coverage into standalone projects that let you go deeper on the state of the open model ecosystem. The new free sources of data are: The Artifacts Hub — a curated view of the models trending on Hugging Face, highlighting inference tokens via Open Router,…

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