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Manage model repositories using simplismart model-repos.

List Model Repos

Lists model repositories with optional filtering.
Expected output

Status Options

Example:

Get Model Repo

Gets details of a specific model repository.
Example:
Expected output

Get Model Profiles

Generates/resolves the model profile from a source type and path. Returns the optimization combinations available for that model (quantizations, machines, and parallelism options).
Example:
Expected output
Output: JSON with a profile object containing:
  • model_infotype, architecture, param_size, default_quantization
  • quantizations — map of quantization (e.g. float16, fp8, int4) to list of supported machines
  • combinations — list of valid (quantization, machine, parallelism) combinations; each has quantization, machine, tensor_parallelism, data_parallelism, pipeline_parallelism, expert_parallelism (each a list of allowed values)

Bring Your Own Container Model Repo

Bring your own container.
Example:

Create Private Compile Model Repo

Creates a private compile model repository: the platform compiles the model from a source (e.g. Hugging Face) using config files for model, optimisation, and pipeline.
Example:
Config files: See the Python SDK Model Repos for the structure of model_config.json, optimisation_config.json, and pipeline_config.json. Example output
Full examples are in the Simplismart SDK example repo.

Delete Model Repo

Deletes a model repository.
Example:
Example Output