main-database/MPT.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 (Company)

system:
    name: MPT
    link: https://huggingface.co/mosaicml/mpt-30b-instruct
    type: text
    performanceclass: full
    basemodelname: MPT-30B
    endmodelname: MPT-30B-Instruct
    endmodellicense: Apache-2.0
    releasedate: 2023-06
    notes: Open LLM by Databricks which has been taken down.

org:
    name: Databricks
    link: https://www.databricks.com
    notes: Databricks, a data platform.

# availability:
datasources_basemodel:
    class: partial
    link: https://huggingface.co/datasets/c4
    notes: C4 is part of the dataset but a precise specification of source data is hard to find

datasources_endmodel:
    class: partial
    link: https://huggingface.co/datasets/mosaicml/dolly_hhrlhf
    notes: dolly-hhrlhf, combination of Databrick dolly-15k dataset and a filtered subset of Anthropic HH-RLHF

weights_basemodel:
    class: closed
    link:
    notes: Weights removed from HuggingFace.

weights_endmodel:
    class: closed
    link:
    notes: Weights removed from HuggingFace.

trainingcode:
    class: open
    link: https://github.com/mosaicml/llm-foundry/tree/main/llmfoundry/models/mpt
    notes: Codebase part of LLM foundry

# documentation
code:
    class: open
    link: https://github.com/mosaicml/llm-foundry/
    notes: LLM Foundry codebase is well-documented and in active development.

hardware_architecture:
    class: partial
    link: https://huggingface.co/mosaicml/mpt-30b-instruct
    notes: Architecture reasonably well-documented

preprint:
    class: closed
    link:
    notes:

paper:
    class: closed
    link:
    notes:

modelcard:
    class: partial
    link: https://huggingface.co/mosaicml/mpt-30b-instruct
    notes: Modelcard is somewhat lacking in detail

datasheet:
    class: closed
    link: https://www.mosaicml.com/blog/mpt-30b
    notes: Datasheet not available; data somewhat documented in blog post at link

# access
licenses:
    class: open
    link:
    notes: Apache 2.0