A version links weights, code, tokenizer, prompt defaults, evaluation results, and deployment history. Immutable versions make rollback and reproduction possible even when a friendly model name points to a newer release.
Model versioning assigns stable identifiers and metadata to distinct model artifacts and configurations.
A version links weights, code, tokenizer, prompt defaults, evaluation results, and deployment history. Immutable versions make rollback and reproduction possible even when a friendly model name points to a newer release.