NIM Repository Layout

<repository-name>: The root folder of your Docker remote repository.

.jfrog: Contains JFrog internal configuration files for integration.

caller-info.json: JSON metadata typically includes information about API callers or services interacting with the repository.

model-mapping.json: A file that maps various models to their paths or specifications.

models: The main directory for machine learning models.

org: A directory that encapsulates organizational structure.

nim: Indicates a specific technology or model framework

team: Represents a specific team working within the organizational folder.

meta: Contains metadata and model records.

<model_name>: Each model is stored in its directory.

<model_version>: Different versions of the model (versioning is crucial for deployment).

.jfrog: Contains files specific to model configuration.

checksums.blake3: A file with checksum values for integrity verification of the model files.

config.json: Contains model-specific configurations

generation_config.json: Configuration for generation-specific settings

<repository name>: The top-level name of the repository where all models are stored. This often reflects the purpose or organization managing the models.

<models>: A directory that contains all the models.

<org_name>_<team_name> - A folder naming convention where:

Together, they are separated by an underscore (for example, my_org_data_science).

<model_name> - The name of the specific model (for example, image_classifier).

<model_version> - Version of the model, usually following semantic versioning (for example, v1.0.0).

_.jfrog_nim_model_info.json - A metadata file in JSON format that contains information about the model, such as its name, version, description, authorship, and any dependencies or requirements for the model.

<model> - A directory that contains the actual model files necessary for deployment or inference.

<FILE_1>, <FILE_2> - These are placeholders for specific model files, which could include: