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Adapters

Assess

Techniques

Small trainable components used to adapt large models with minimal additional parameters.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by open-source activity, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

  • 7Hugging Face Blog·3/17/2026open_source
    Hugging Face Reports Rapid Growth in Open Source AI

    Hugging Face's Spring 2026 state-of-open-source report says the platform has reached 13 million users, over 2 million public models, and more than 500,000 public datasets. The analysis highlights strong growth, heavy concentration in downloads, and increasing adoption by large companies, startups, and specialized communities across regions and use cases.