main-database/LFM.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: United States
# - Contributor type: Non-academic (Company)

system:
    name: LFM2
    link: https://huggingface.co/LiquidAI/LFM2-24B-A2B
    type: text
    performanceclass: full
    basemodelname: unknown
    endmodelname: LFM2-24B-A2B
    endmodellicense: LFM Open License v1.0
    releasedate: 2026-02
    notes: Hybrid model for on-device deployment.

org:
    name: Liquid AI
    link: https://www.liquid.ai/
    notes: AI startup.

# availability:
datasources_basemodel:
    class: closed
    link:
    notes: No base model data sources found.

datasources_endmodel:
    class: closed
    link:
    notes: No end model data sources found.

weights_basemodel:
    class: closed
    link:
    notes: No base model weights published.

weights_endmodel:
    class: open
    link: https://huggingface.co/LiquidAI/LFM2-24B-A2B
    notes: End model weights published 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: open
    link: https://arxiv.org/pdf/2511.23404
    notes: Hardware architecture outlined in preprint.

preprint:
    class: open
    link: https://arxiv.org/pdf/2511.23404
    notes: Preprint published on arXiv.

paper:
    class: closed
    link:
    notes: Paper listed as forthcoming.

modelcard:
    class: partial
    link: https://huggingface.co/LiquidAI/LFM2-24B-A2B
    notes: Modelcard contains information about hardware architecture and training approach, but none about data sources and downstream risks.

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

# access:
licenses:
    class: closed
    link: https://huggingface.co/LiquidAI/LFM2-24B-A2B/blob/main/LICENSE
    notes: LFM Open License v1.0, not an OSI-approved license.