gptq
Pass
Audited by Gen Agent Trust Hub on Oct 2, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical resource for model optimization, providing standard code snippets and installation instructions for well-known libraries such as
auto-gptqandtransformers. - [EXTERNAL_DOWNLOADS]: The documentation references downloading pre-quantized models and calibration datasets from Hugging Face, a well-known and trusted platform in the machine learning ecosystem. These operations are neutral and standard for the described use case.
- [INDIRECT_PROMPT_INJECTION]: The skill describes methods for processing external data (e.g., C4 or ShareGPT datasets) to calibrate models during quantization. While this involves ingesting external content into the model's training pipeline, it is a core requirement of the GPTQ process and uses standard library functions without bypassing security controls.
- [COMMAND_EXECUTION]: Provides standard command-line instructions for environment setup, including package installation via
pipand system dependency management viaapt-get. These are routine administrative tasks for developers.
Audit Metadata