MYTHOS-AI-0002
Model Intelligence, Training, and Deployment Standard
Covers model selection, training lineage, deployment constraints, and operational readiness for Mythos intelligence surfaces.
Purpose
Define the minimum documentation and evaluation gates for training lineage and deployment readiness of models used in Mythos systems.
Scope
Applies to hosted, local, open-weight, and browser-local model deployments that participate in product workflows.
Excludes unverified marketing claims about general intelligence.
Evaluation dimensions
Training and fine-tune lineage disclosure where applicable.
Deployment topology: hosted, local, air-gapped, or browser-local.
Resource envelope: memory, accelerator class, and load constraints.
Rollback and version pinning expectations.
Publication rules
Deployment claims require version identifiers, topology, resource envelope, and date.
Training claims require dataset class, method class, and reproducibility notes when results are published.
Document status
MYTHOS-AI-0002 is published here as a draft standard definition. It does not constitute a completed product certification or a published scoreboard of model results.