Define v1 OCI annotation spec for cloud native AI model artifacts - issue 1740 - #2299
Define v1 OCI annotation spec for cloud native AI model artifacts - issue 1740#2299savitharaghunathan wants to merge 1 commit into
Conversation
Signed-off-by: Savitha Raghunathan <saveetha13@gmail.com>
caldeirav
left a comment
There was a problem hiding this comment.
MOF Component Vocabulary is defined in MOF Specifications:
Datasets, Data Preprocessing Code, Model Architecture, Final Model Parameters, Intermediate Model Parameters, Model Metadata, Training Code, Inference Code, Evaluation Code, Evaluation Data, Evaluation Results, Supporting libraries and Tools, Model Card, Data Card, Technical Report, Research Paper, Sample Model Outputs, Model Openness Configuration File
Also the Model Openness Configuration File MUST be included in any distribution.
Do we want to consider the possibility of handling multi-license clarity at the component level here - given that standard open licenses that SHOULD be used for each component from MOF perspective? Note that compoenents and mapping is included in the Model Openness Configuration File.
Adds a draft v1 OCI annotation spec for the interoperability profile scoped in #1740, covering identity, MOF classification, and supply chain trust metadata for model artifacts.