main-database/OpenCodeInterpreter.yaml at preview · martinjaggi/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: Academic (Research community)

system:
    name: OpenCodeInterpreter
    link: https://huggingface.co/m-a-p/OpenCodeInterpreter-CL-70B
    type: code
    performanceclass: full
    basemodelname: Llama-2-70B
    endmodelname: OpenCodeInterpreter-CL-70B
    endmodellicense: Apache-2.0
    releasedate: 2024-02
    notes: Coder model integrating execution and iterative refinement functionalities.

org:
    name: Multimodal Art Projection
    link: https://m-a-p.ai/
    notes: Open-source AI research community.

# 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: closed
    link: https://huggingface.co/datasets/m-a-p/Code-Feedback
    notes: Dataset for end model published on HuggingFace. Proprietary dataset used in intermediate CodeLlama model.

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/datasets/m-a-p/Code-Feedback
    notes: Model weights published on HuggingFace.

trainingcode:
    class: closed
    link: https://github.com/OpenCodeInterpreter/OpenCodeInterpreter/
    notes: Repo exists, but does not contain training code.

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

hardware_architecture:
    class: closed
    link:
    notes: No hardware architecture description provided.

preprint:
    class: open
    link: https://arxiv.org/pdf/2402.14658
    notes: Preprint made available through arXiv.

paper:
    class: open
    link: https://aclanthology.org/2024.findings-acl.762/
    notes: Paper published in ACL.

modelcard:
    class: closed
    link: https://huggingface.co/m-a-p/OpenCodeInterpreter-CL-70B
    notes: Model card provides minimal information, only describing benchmarking and usage.s

datasheet:
    class: closed
    link: https://huggingface.co/datasets/m-a-p/Code-Feedback
    notes: Datasheet for base model unavailable. Datasheet for end model contains limited information.

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

api:
    class: open
    link: https://huggingface.co/spaces/m-a-p/OpenCodeInterpreter_demo
    notes: HuggingFace space containing model available.
    metaprompt: closed

licenses:
    class: open
    link: https://huggingface.co/m-a-p/OpenCodeInterpreter-CL-70B
    notes: Apache-2.0, an OSI-approved license.