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Founded2016
HQNew York City
RoleMaintains the Hub (models, datasets, Spaces) and core open-source libraries (Transformers, Diffusers, Datasets); publishes its own small open models.
MakerClément Delangue, Julien Chaumond, Thomas Wolf
CategoryAI infrastructure / open-source ML platform
Reviewed2026-06-08
The lenses
Scored on its own merits — not rolled up from the finds we publish.
Novelty 3
Impact · breadth 5
Impact · depth 5
Actionable 5
Substance 5
Hype 5
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Top 5 · Hugging Face
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Overall = breadth + depth + substance + ½·novelty + freshness (a small boost that halves each week)
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See the full feed → repoArtificial Intelligence
nanoVLM
A model that reads images and answers questions about them, written small enough to read in an afternoon — and then quietly promoted from teaching toy to the bench rig behind a 24-million-sample dataset.
Overall▄▃▄▅▃▇medium · first-partyHugging Face
toolArtificial Intelligence
A flagship on a gaming card
Alibaba's new open-weight model fires only 3 billion parameters per word it writes, yet matches last year's flagship that fired more than seven times as many — and it runs on an $800 gaming card.
Overall▃▄▄▅▃▅medium · first-partyQwen team, Alibaba
repoArtificial Intelligence
The model that tuned itself
MiniMax handed an internal build of its new coding model the job of improving its own agent harness, then watched it run 100-plus rounds unsupervised.
Overall▄▄▃▄▃▅medium · first-partyMiniMax
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