main-database/InternLM.yaml at preview · Language-Technology-Assessment/main-database · GitHub

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---
# Thank you for contributing!
# In filling out this yaml file, please follow the criteria as described here:
# https://osai-index.eu/contribute

# You're free to build on this work and reuse the data. It is licensed under CC-BY 4.0, with the
# stipulation that attribution should come in the form of a link to https://osai-index.eu/
# and a citation to the peer-reviewed paper in which the dataset & criteria were published:

# Liesenfeld, A. and Dingemanse, M., 2024. Rethinking open source generative AI: open-washing and the EU AI Act. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 1774-1787).

# Organization tags:
# - National origin: China
# - Contributor type: Academic (Research institution)

system:
    name: Intern-S1
    link: https://huggingface.co/internlm/Intern-S1-Pro
    type: text
    performanceclass: full
    basemodelname: Intern-S1-Pro
    endmodelname: Intern-S1-Pro
    endmodellicense: Apache-2.0
    releasedate: 2024-03
    notes: Leading open-source instruction-following model.

org:
    name: Shanghai AI Laboratory
    link: https://www.shlab.org.cn/
    notes: National-level Chinese research institute.

# availability:
datasources_basemodel:
    class: closed
    link:
    notes: No information on data sources found.

datasources_endmodel:
    class: closed
    link:
    notes: No information on data sources found.

weights_basemodel:
    class: open
    link: https://huggingface.co/internlm/Intern-S1-Pro
    notes: Weights made available on HuggingFace.

weights_endmodel:
    class: open
    link: https://huggingface.co/internlm/Intern-S1-Pro
    notes: Weights made available on HuggingFace.

trainingcode:
    class: closed
    link: https://github.com/InternLM/Intern-S1
    notes: No training code found.

# documentation:
code:
    class: closed
    link:
    notes: No code, so no documentation.

hardware_architecture:
    class: partial
    link: https://arxiv.org/pdf/2508.15763
    notes: Some information on hardware architecture found.

preprint:
    class: open
    link: https://arxiv.org/abs/2508.15763
    notes: Preprint published on arXiv.

paper:
    class: closed
    link:
    notes:

modelcard:
    class: partial
    link: https://huggingface.co/internlm/Intern-S1-Pro
    notes: Model card contains surface-level data.

datasheet:
    class: closed
    link:
    notes:

# access:
licenses:
    class: open
    link:
    notes: Apache-2.0, an OSI-approved license.