main-database/AquilaCode.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 (Research institution)

# Training compute:
# - Base model training compute: >= 1.18e+22 FLOP (lower bound from 2x Chinchilla)
# - End model training compute: unknown (likely negligible)

system:
    name: AquilaCode
    link: https://huggingface.co/BAAI/AquilaCode-multi
    type: code
    performanceclass: full
    basemodelname: Aquila-7B
    endmodelname: AquilaCode-multi
    endmodellicense: BAAI Aquila Model Licence Agreement
    releasedate: 2023-07
    notes: Bilingual (English-Chinese) language model.

org:
    name: Beijing Academy of Artificial Intelligence
    link: https://www.baai.ac.cn/en/
    notes: Chinese non-profit AI lab.

# availability:
datasources_basemodel:
    class: open
    link: https://arxiv.org/pdf/2408.07410
    notes: Paper thoroughly outlines pretraining data sources.

datasources_endmodel:
    class: closed
    link:
    notes: No data sources mentioned.

weights_basemodel:
    class: open
    link: https://huggingface.co/BAAI/Aquila-7B
    notes: Weights available through HuggingFace.

weights_endmodel:
    class: open
    link: https://huggingface.co/BAAI/AquilaCode-multi
    notes: Weights available through HuggingFace.

trainingcode:
    class: closed
    link:
    notes: No training code repository easily available.

# documentation:
code:
    class: closed
    link:
    notes:

hardware_architecture:
    class: closed
    link:
    notes: Only minimal architecture information available.

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

paper:
    class: closed
    link:
    notes:

modelcard:
    class: partial
    link:
    notes: Model card does not go very in-depth, mainly providing information about inference and global model information.

datasheet:
    class: closed
    link:
    notes:

# access:
licenses:
    class: closed
    link: ["https://huggingface.co/BAAI/AquilaCode-multi/blob/main/BAAI%20Aquila%20Model%20License%20Agreement.pdf", "https://arxiv.org/pdf/2408.07410"]
    notes: "Weights: BAAI Aquila Model Licence Agreement. Code: not released. Data: not specified (inaccessible pages)."