hqq-quantization

Pass

Audited by Gen Agent Trust Hub on Mar 28, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns or security risks were identified during the analysis of the skill. All instructions and code snippets are consistent with the stated purpose of model quantization and optimization.
  • [EXTERNAL_DOWNLOADS]: The skill facilitates the installation of standard machine learning libraries (such as hqq, torch, bitblas, and torchao) and the loading of models from well-known platforms like Hugging Face. These operations target established, legitimate services.
  • [COMMAND_EXECUTION]: Shell commands within the skill are limited to standard Python package installation routines using pip.
  • [SAFE]: Employs standard framework-provided techniques for performance enhancement, such as torch.compile for kernel fusion and dynamic layer manipulation within model architectures.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 28, 2026, 06:06 PM