hqq-quantization

Pass

Audited by Gen Agent Trust Hub on Oct 5, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSDYNAMIC_EXECUTION
Full Analysis
  • [SAFE]: The skill serves as a technical integration guide for HQQ quantization. The instructions and code examples provided are consistent with standard practices in model optimization and use legitimate, well-known libraries and tools.
  • [EXTERNAL_DOWNLOADS]: The skill provides instructions to download and install several well-known and reputable Python packages from the official PyPI registry, including hqq, torch, transformers, and vllm. It also references official model repositories on Hugging Face. These references are appropriate for the skill's stated purpose and do not pose a security risk.
  • [DYNAMIC_EXECUTION]: The skill includes examples of using torch.compile, which is a standard performance optimization feature in PyTorch that compiles model components into optimized kernels at runtime. This is a legitimate use case for machine learning workloads and does not involve executing untrusted or hidden code.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 5, 2026, 08:04 PM