main-database/Magicoder.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: Academic (University)

system:
    name: Magicoder
    link: https://huggingface.co/ise-uiuc/Magicoder-S-CL-7B
    type: code
    performanceclass: full
    basemodelname: Llama-2-7B
    endmodelname: Magicoder-S-CL-7B
    endmodellicense: Llama 2 Community License Agreement
    releasedate: 2023-12
    notes: Coder model by student team at UIUC

org:
    name: Intelligent Software Engineering
    link: https://github.com/ise-uiuc
    notes: Student team at University of Illinois Urbana-Champaign.

# availability:
datasources_basemodel:
    class: closed
    link: https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/
    notes: Data nowhere disclosed or documented, and described only in the vaguest terms in a corporate preprint released by Meta

datasources_endmodel:
    class: open
    link: ["https://huggingface.co/datasets/ise-uiuc/Magicoder-OSS-Instruct-75K", "https://huggingface.co/datasets/ise-uiuc/Magicoder-Evol-Instruct-110K"]
    notes: Datasets for instruct-tuning published on HuggingFace.

weights_basemodel:
    class: partial
    link: https://ai.meta.com/resources/models-and-libraries/llama-downloads/
    notes: Download only after requesting access; requires signing a consent form

weights_endmodel:
    class: open
    link: https://huggingface.co/ise-uiuc/Magicoder-S-CL-7B
    notes: Model available on HuggingFace.

trainingcode:
    class: partial
    link: ["https://github.com/meta-llama/codellama", "https://github.com/ise-uiuc/magicoder"]
    notes: Repos exists, but only tuning code is available.

# documentation:
code:
    class: partial
    link: https://github.com/ise-uiuc/magicoder/blob/main/README.md
    notes: End model training repo sparsely documented.

hardware_architecture:
    class: partial
    link: "https://arxiv.org/pdf/2308.12950"
    notes: Hardware architecture discussed in aggregate and with a low level of detail in the model's paper.

preprint:
    class: open
    link: https://arxiv.org/pdf/2312.02120
    notes: Preprint available through arXiv.

paper:
    class: open
    link: https://dl.acm.org/doi/10.5555/3692070.3694228
    notes: Paper published in ICML.

modelcard:
    class: partial
    link: https://huggingface.co/meta-llama/CodeLlama-70b-Instruct-hf
    notes: Model card provides some information about training and inference, however mostly contains usage instructions.

datasheet:
    class: partial
    link: ["https://huggingface.co/datasets/ise-uiuc/Magicoder-OSS-Instruct-75K", "https://huggingface.co/datasets/ise-uiuc/Magicoder-OSS-Instruct-75K"]
    notes: Datasheets found with scarce detail.

# access:
licenses:
    class: closed
    link: https://huggingface.co/meta-llama/CodeLlama-70b-Instruct-hf#model-details
    notes: Llama 2 Community License Agreement, not an OSI-approved license.