quantizing-models-bitsandbytes
Pass
Audited by Gen Agent Trust Hub on Sep 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides standard documentation and code snippets for machine learning workflows using well-known libraries like Transformers, PEFT, and bitsandbytes.
- [EXTERNAL_DOWNLOADS]: The skill references official Hugging Face model identifiers and datasets (e.g., meta-llama, openassistant-guanaco) and provides installation instructions for established Python packages from official registries. These references are standard for the described workflows and target well-known services.
- [INDIRECT_PROMPT_INJECTION]: The skill documents workflows for loading and fine-tuning external models and datasets. While ingesting external data represents a potential attack surface, this behavior is central to the skill's purpose and uses standard library functions for processing these assets.
- [COMMAND_EXECUTION]: The skill includes shell commands for installing dependencies via pip. These commands are transparent and target standard, reputable packages.
Audit Metadata