Compare candidate models
Review capabilities, architecture, context behavior, language coverage, efficiency, ecosystem maturity, and intended tasks.
RAYA treats open models as a changing field of strong foundations—not a single permanent dependency. Models are selected against each intended Indonesian and commercial workload.
Review capabilities, architecture, context behavior, language coverage, efficiency, ecosystem maturity, and intended tasks.
Evaluate licensing, acceptable use, attribution, redistribution, deployment, and derivative-model requirements.
Apply Indonesian continued pre-training, post-training, domain adaptation, tools, and task-specific evaluation.
Version model profiles, evaluate new open releases, manage migration, and avoid unnecessary lock-in to one base.
Task capability, language behavior, license, architecture, efficiency, and ecosystem
→Indonesian data, domain knowledge, aligned behavior, tools, and evaluation
→Different model profiles may serve different quality, cost, latency, and control needs
→Versioning, regression evaluation, migration planning, and model retirement
→The strategy is portfolio-based. Candidate models can be selected according to workload fit, license, capability, efficiency, and the value of further localization.
Each candidate should be reviewed for its specific terms, including use, attribution, redistribution, deployment, and derivative-model obligations.
Indonesian language and knowledge adaptation, business alignment, evaluation, API delivery, enterprise controls, and ongoing model operations.