awq-quantization

Pass

Audited by Gen Agent Trust Hub on Oct 29, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as a technical manual for AWQ quantization, providing standard code snippets for model loading, quantization, and benchmarking.\n- [EXTERNAL_DOWNLOADS]: Installation instructions and model loading examples reference well-known and trusted platforms, including PyPI, GitHub, and HuggingFace. Specifically, it suggests installing autoawq, transformers, and torch, and loading models from TheBloke and mistralai on HuggingFace, which are standard practices in the AI community.\n- [COMMAND_EXECUTION]: The skill includes documentation for common shell commands used in machine learning environments, such as pip install and nvcc --version. These are informational and do not involve suspicious execution patterns.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 29, 2026, 03:22 PM