quantizing-models-bitsandbytes
Pass
Audited by Gen Agent Trust Hub on Mar 28, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [PROMPT_INJECTION]: The skill demonstrates processing outputs from external models (e.g., tokenizer.decode(outputs[0])). This creates an indirect prompt injection surface where the agent could be influenced by instructions embedded in the data retrieved from the model.
- Ingestion points: Model inference outputs in SKILL.md and references/qlora-training.md.
- Boundary markers: Not utilized in the provided examples.
- Capability inventory: Includes package installation via pip, file system operations via model.save_pretrained, and network access for downloading model assets.
- Sanitization: Not explicitly implemented in the example code snippets.
- [EXTERNAL_DOWNLOADS]: Facilitates downloading model weights and datasets from HuggingFace (e.g., meta-llama/Llama-2-7b-hf). These downloads originate from well-known services and trusted organizations.
Audit Metadata