Model file download location management.

This issue highlights a fundamental user experience gap: lack of explicit control over model file storage. For B2B SaaS, particularly in AI/ML, managing large model artifacts is critical for resource allocation, compliance, and operational efficiency. Users require clear configuration options for download paths to integrate models into existing infrastructure, manage disk space, and adhere to data governance policies. The absence of this basic functionality creates friction, suggesting an oversight in deployment flexibility. Market implication: products failing to provide granular control over resource placement will face adoption hurdles in enterprise environments with strict infrastructure requirements.