nvalchemi-fine-tuning
Pass
Audited by Gen Agent Trust Hub on Jul 3, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides technical instructions for model fine-tuning and checkpoint management using the nvalchemi library.
- [SAFE]: Secure coding practices are observed, specifically the use of
weights_only=Trueintorch.load()to prevent potential arbitrary code execution vulnerabilities common in older Python pickle-based model serialization. - [SAFE]: All operations, CLI commands, and file paths described are standard for machine learning workflows (e.g., using .zarr datasets, managing training checkpoints) and do not involve unauthorized network access or sensitive data exfiltration.
Audit Metadata