quantizing-models-bitsandbytes
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFECOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The skill consists of technical documentation and instructions for using standard machine learning libraries such as bitsandbytes, transformers, and peft. No malicious patterns, obfuscation, or unauthorized data access were identified.
- [COMMAND_EXECUTION]: The instructions include standard package installation commands (pip install) for well-known and reputable Python libraries. These are necessary for setting up the required environment.
- [INDIRECT_PROMPT_INJECTION]: The skill has a theoretical surface for indirect prompt injection when loading models or datasets (e.g., in SKILL.md and references/qlora-training.md). Ingestion Points: loading models via AutoModelForCausalLM and datasets via load_dataset. Boundary Markers: None present. Capability Inventory: The skill involves model training and inference but lacks hazardous capabilities like arbitrary file writing or network exfiltration. Sanitization: No specific input sanitization for model or dataset names is described.
Audit Metadata