main-database/BitNet.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 (American Big Tech)

system:
    name: BitNet
    link: https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
    type: text
    performanceclass: full
    basemodelname:
    endmodelname: BitNet-b1.58-2B4T
    endmodellicense: MIT License
    releasedate: 2025-04
    notes: Native 1-bit LLM.

org:
    name: Microsoft
    link: https://huggingface.co/microsoft
    notes: Major technology company.

# availability:
datasources_basemodel:
    class: closed
    link: https://arxiv.org/pdf/2504.12285
    notes: Pretraining data said to include DCLM and FineWeb-EDU. No full description provided.

datasources_endmodel:
    class: closed
    link: https://arxiv.org/pdf/2504.12285
    notes: Fine-tuning data said to include WildChat, LMSYS-Chat-1M, WizardLM-Evol-Instruct, and SlimOrca. No full description provided.

weights_basemodel:
    class: closed
    link:
    notes: Weights for base model not made available.

weights_endmodel:
    class: open
    link: https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
    notes: Weights made available on HuggingFace.

trainingcode:
    class: closed
    link: https://github.com/microsoft/BitNet
    notes: Only inference code found.

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

hardware_architecture:
    class: closed
    link: https://arxiv.org/pdf/2504.12285
    notes: Only inference hardware information found.

preprint:
    class: open
    link: https://arxiv.org/pdf/2504.12285
    notes: Preprint made available on arXiv.

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

modelcard:
    class: partial
    link: https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
    notes: Model card provides thorough information regarding architecture, fine-tuning, and evaluation. Information regarding training is provided to a lesser degree.

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

# access
package:
    class: closed
    link:
    notes: No package found.

api:
    class: closed
    link: https://bitnet-demo.azurewebsites.net/
    notes: Demo available. No API found.
    metaprompt: closed

licenses:
    class: open
    link: https://huggingface.co/microsoft/bitnet-b1.58-2B-4T/blob/main/LICENSE
    notes: MIT License, an OSI-approved license.