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Model family

CLIP

CLIP is a model family from OpenAI12, with 1 assessed release in this catalog. Licenses and availability are recorded for each release, not for the family; its releases use the MIT License (openai/CLIP code).

CLIP (Contrastive Language-Image Pre-Training) is an OpenAI family of paired image and text encoders trained with a contrastive objective on 400 million image-text pairs, which lets the model classify images zero-shot from natural-language labels. OpenAI released the models in stages from January 2021 to April 2022, from ResNet-50 and ViT-B/32 up to ViT-L/14 and ViT-L/14 at 336-pixel resolution.124

On AI on Hugging Face: openai/clip-vit-large-patch14

Last reviewedEntry updated Documented release Jan 2021

Releases assessed

Each release is assessed on its own. This family has no family-wide openness label.
Releases in the CLIP family
ReleaseWeightsTier (USASI rubric v0.2)LicenseReleased
CLIP ViT-L/14Weights: PublicModel-disclosure tier (USASI rubric v0.2): Open-weightMITJan 2022

What it is useful for

The model card describes CLIP as a research output for studying zero-shot image classification, robustness, and bias. It states that any deployed use, commercial or not, is currently out of scope, that surveillance and facial recognition uses are always out of scope, and that use should be limited to English.1

Organization context

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: U.S. headquarters

The model card states that CLIP was developed by researchers at OpenAI, and the models are published in OpenAI's openai/CLIP repository. OpenAI Group PBC lists its address as 1455 3rd Street, San Francisco, California, in a February 2026 agreement filed with the SEC.126

Assessed Sep 29, 2026

Sources

  1. 1.
    Model Card: CLIP (external site: github.com)

    OpenAI (GitHub) · Model card · accessed Sep 29, 2026

  2. 2.
    openai/CLIP README (external site: github.com)

    OpenAI (GitHub) · Repository · accessed Sep 29, 2026

  3. 3.
    openai/CLIP clip/clip.py (checkpoint download URLs) (external site: github.com)

    OpenAI (GitHub) · Repository · accessed Sep 29, 2026

  4. 4.
    Learning Transferable Visual Models From Natural Language Supervision (arXiv 2103.00020) (external site: arxiv.org)

    arXiv (OpenAI authors) · Paper · published Feb 26, 2021 · accessed Sep 29, 2026

  5. 5.
  6. 6.
    Exhibit 10.1: Equity commitment letter agreement between OpenAI Group PBC and Amazon (external site: sec.gov)

    U.S. Securities and Exchange Commission (Amazon.com, Inc. filing) · Filing · published Feb 27, 2026 · accessed Sep 29, 2026

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USASI. (2026, September 29). CLIP. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/clip/

BibTeX

@misc{usasi_clip,
  author = {{USASI}},
  title = {CLIP},
  year = {2026},
  month = sep,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/clip/}},
  note = {United States of America Superintelligence. Last updated 2026-09-29}
}

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