Add Magenta.yaml

Author: DBlankvoort

Magenta.yaml

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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 (American Big Tech)
+
+system:
+    name: Magenta
+    link: https://huggingface.co/google/magenta-realtime
+    type: audio
+    performanceclass: full
+    basemodelname: Magenta RealTime
+    endmodelname: Magenta RealTime
+    endmodellicense: Apache-2.0 and CC-BY-NC-4.0 and additional terms
+    releasedate: 2025-06
+    notes: Music generation model by Google DeepMind
+
+org:
+    name: Google DeepMind
+    link: https://deepmind.google/
+    notes: Major technology company, operator of Google Search.
+
+# availability:
+datasources_basemodel:
+    class: closed
+    link:
+    notes: No details provided for training data.
+
+datasources_endmodel:
+    class: closed
+    link:
+    notes: No details found for training data.
+
+weights_basemodel:
+    class: open
+    link: https://huggingface.co/google/magenta-realtime
+    notes: Model available through HuggingFace.
+
+weights_endmodel:
+    class: open
+    link: https://huggingface.co/google/magenta-realtime
+    notes: Model available through HuggingFace.
+
+trainingcode:
+    class: partial
+    link: https://github.com/magenta/magenta-realtime
+    notes: No pre-training or instructing-tuning code made available. Some developer tools available.
+
+# documentation:
+code:
+    class: closed
+    link:
+    notes: No pretraining or finetuning code found. Scarce code documentation except for deployment of the open weights.
+
+hardware_architecture:
+    class: partial
+    link: https://huggingface.co/google/magenta-realtime
+    notes: Processors used are described, for the rest scarce info is provided.
+
+preprint:
+    class: closed
+    link: https://magenta.withgoogle.com/magenta-realtime
+    notes: Model publicized through blog post. Paper is mentioned as being forthcoming.
+
+paper:
+    class: closed
+    link:
+    notes: No paper found.
+
+modelcard:
+    class: open
+    link: https://huggingface.co/google/magenta-realtime
+    notes: Model card provides the requisite information.
+
+datasheet:
+    class: closed
+    link:
+    notes: No datasheet found.
+
+# access:
+package:
+    class: closed
+    link: 
+    notes: No package found.
+
+api:
+    class: closed
+    link:
+    notes: No API found.
+    metaprompt: closed
+
+licenses:
+    class: partial
+    link: https://huggingface.co/google/magenta-realtime
+    notes: Apache-2.0 and CC-BY-4.0, with additional terms of use