database-fork/Qwen.yaml at preview · Language-Technology-Assessment/database-fork · 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: Qwen
    link: https://huggingface.co/Qwen/Qwen3-235B-A22B
    type: text
    performanceclass: latest
    basemodelname: Qwen3-235B-A22B-Base
    endmodelname: Qwen3-235B-A22B
    endmodellicense: Apache-2.0
    releasedate: 2025-04
    notes: Reasoning model with claims of comparable performance to DeepSeek-R1.

org:
    name: Alibaba
    link: https://www.alibabacloud.com/
    notes: Alibaba Cloud, a subdivision of the Chinese multinational technology company Alibaba.

# availability:
datasources_basemodel:
    class: closed
    link:
    notes: Pretraining data not specified or documented.

datasources_endmodel:
    class: closed
    link:
    notes: Data not specified or documented.

weights_basemodel:
    class: closed
    link:
    notes: No base model made available.

weights_endmodel:
    class: open
    link: https://huggingface.co/Qwen/Qwen3-235B-A22B
    notes: Model weights made available on HuggingFace.

trainingcode:
    class: partial
    link: https://github.com/QwenLM
    notes: Repository provides sparse source code and some examples for SFT

# documentation:
code:
    class: partial
    link: https://github.com/QwenLM
    notes: Repository is fairly well-documented.

hardware_architecture:
    class: closed
    link:
    notes: No description of hardware architecture found.

preprint:
    class: open
    link: https://arxiv.org/abs/2505.09388
    notes: Preprint published on arXiv.

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

modelcard:
    class: closed
    link: https://huggingface.co/Qwen/Qwen3-235B-A22B
    notes: Model card primarily contains usage instructions.

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

# access:
package:
    class: open
    link: https://ollama.com/library/qwen3
    notes: Model available on Ollama.

api:
    class: open
    link: https://huggingface.co/spaces/Qwen/Qwen3-Demo
    notes: Model available through HuggingFace space.
    metaprompt: closed

licenses:
    class: open
    link: https://qwenlm.github.io/blog/qwen3/
    notes: Model released under Apache-2.0, an OSI-approved license.