main-database/BindWeave.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 (Company)

# Training compute:
# - Base model training compute: unknown (~4e22?)
# - End model training compute: unknown (~4e22?)

system:
    name: BindWeave
    link: https://huggingface.co/ByteDance/BindWeave
    type: video
    performanceclass: full
    basemodelname: BindWeave
    endmodelname: BindWeave
    endmodellicense: Apache-2.0
    releasedate: 2024-03
    notes: Video generation model using cross-modal integration via entity grounding and representation alignment.

org:
    name: ByteDance
    link: https://www.bytedance.com/
    notes: ByteDance, the parent company of TikTok.

# availability:
datasources_basemodel:
    class: open
    link: https://arxiv.org/pdf/2510.00438
    notes: Preprint mentions curation of OpenS2V-5M dataset.

datasources_endmodel:
    class: open
    link: https://arxiv.org/pdf/2510.00438
    notes: Preprint mentions curation of OpenS2V-5M dataset.

weights_basemodel:
    class: open
    link: https://huggingface.co/ByteDance/BindWeave
    notes: Weights made available on HuggingFace.

weights_endmodel:
    class: open
    link: https://huggingface.co/ByteDance/BindWeave
    notes: Weights made available on HuggingFace.

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

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

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

preprint:
    class: open
    link: https://arxiv.org/pdf/2510.00438
    notes: Preprint available on arXiv.

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

modelcard:
    class: closed
    link: https://huggingface.co/ByteDance/BindWeave
    notes: Model card primarily contains information on model performance.

datasheet:
    class: open
    link: https://arxiv.org/pdf/2505.20292
    notes: Dataset has associated preprint.

# access:
licenses:
    class: open
    link: ["https://huggingface.co/ByteDance/BindWeave", "https://arxiv.org/pdf/2510.00438"]
    notes: "Weights: Apache-2.0. Code: not released. Data: CC-BY-4.0."