database-fork/AMD Llama Code.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: United States
# - Contributor type: Non-academic (Company)

system:
    name: AMD Llama Code
    link: https://huggingface.co/amd/AMD-Llama-135m-code
    type: code
    performanceclass: full
    basemodelname: AMD-Llama-135m
    endmodelname: AMD-Llama-135m-code
    endmodellicense: Apache-2.0
    releasedate: 2024-07
    notes: Very tiny coder model, useful for speculative decoding.

org:
    name: AMD
    link: https://www.amd.com/en.html
    notes: AMD, a major chip manufacturer.

# availability:
datasources_basemodel:
    class: open
    link: ["https://huggingface.co/datasets/cerebras/SlimPajama-627B", "https://huggingface.co/datasets/manu/project_gutenberg"]
    notes: Data sources used to train the base model shared. Model uses a combination of SlimPajama and Project Gutenberg.

datasources_endmodel:
    class: open
    link: https://huggingface.co/datasets/bigcode/starcoderdata
    notes: Model uses the Python split of StarCoder.

weights_basemodel:
    class: open
    link: https://huggingface.co/amd/AMD-Llama-135m
    notes: Weights published on HuggingFace.

weights_endmodel:
    class: open
    link: https://huggingface.co/amd/AMD-Llama-135m-code
    notes: Weights published on HuggingFace.

trainingcode:
    class: open
    link: https://github.com/AMD-AIG-AIMA/AMD-LLM
    notes: Training code shared on GitHub.

# documentation:
code:
    class: open
    link: https://github.com/AMD-AIG-AIMA/AMD-LLM
    notes: Model code well-documented.

hardware_architecture:
    class: open
    link: https://huggingface.co/amd/AMD-Llama-135m-code
    notes: Hardware architecture shared on model card.

preprint:
    class: closed
    link: https://www.amd.com/en/developer/resources/technical-articles/introducing-amd-first-slm-135m-model-fuels-ai-advancements.html
    notes: No preprint available.

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

modelcard:
    class: open
    link: https://github.com/AMD-AIG-AIMA/AMD-LLM
    notes: Model card provides detail on model architecture, training, fine-tuning, and evaluation.

datasheet:
    class: open
    link: ["https://huggingface.co/datasets/cerebras/SlimPajama-627B", "https://huggingface.co/datasets/manu/project_gutenberg", "https://huggingface.co/datasets/bigcode/starcoderdata"]
    notes: All data sources are well-documented.

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

api:
    class: closed
    link:
    notes: No API found.
    metaprompt: closed

licenses:
    class: open
    link: https://huggingface.co/amd/AMD-Llama-135m-code#license
    notes: Licensed under Apache-2.0, an OSI-approved license.