main-database/Ling.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: Non-academic (Chinese Big Tech)

system:
    name: Ling
    link: https://huggingface.co/inclusionAI/Ling-2.5-1T
    type: text
    performanceclass: latest
    basemodelname: Ling-2.5-1T
    endmodelname: Ring-2.5-1T
    endmodellicense: MIT License
    releasedate: 2026-02
    notes: Reasoning model with claims of comparable performance to DeepSeek-R1.

org:
    name: Inclusion AI
    link: https://github.com/inclusionAI
    notes: Inclusion AI, an organization within the Ant Group, an affiliate company of the Chinese multinational technology company Alibaba.

# availability:
datasources_basemodel:
    class: closed
    link:
    notes: Pretraining datasets not disclosed.

datasources_endmodel:
    class: open
    link: https://huggingface.co/inclusionAI/datasets
    notes: Finetuning datasets published on HuggingFace.

weights_basemodel:
    class: open
    link: https://huggingface.co/inclusionAI/Ling-2.5-1T
    notes: Model weights made available on HuggingFace.

weights_endmodel:
    class: open
    link: https://huggingface.co/inclusionAI/Ring-2.5-1T
    notes: Model weights made available on HuggingFace.

trainingcode:
    class: closed
    link:
    notes: No training code found.

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

hardware_architecture:
    class: closed
    link:
    notes: No information on hardware architecture found.

preprint:
    class: closed
    link:
    notes: No preprint found.

paper:
    class: closed
    link:
    notes: No peer-reviewed paper found.

modelcard:
    class: partial
    link: https://huggingface.co/inclusionAI/Ring-1T
    notes: Model card contains some useful info.

datasheet:
    class: closed
    link:
    notes: No datasheet found.

# access:
licenses:
    class: open
    link: https://huggingface.co/inclusionAI/Ling-2.5-1T#license
    notes: Model released under MIT license, an OSI-approved license.