gguf-quantization

Pass

Audited by Gen Agent Trust Hub on Mar 28, 2026

Risk Level: SAFE
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill provides instructions to clone the official llama.cpp repository from GitHub (ggml-org/llama.cpp) and download model weights from Hugging Face (meta-llama/Llama-3.1-8B). These are well-known and trusted sources within the AI development ecosystem.
  • [COMMAND_EXECUTION]: The documentation includes standard build and execution commands (make, llama-cli, llama-quantize) necessary for local model optimization. It also features Python snippets that use subprocess to check for available VRAM via nvidia-smi to guide hardware offloading settings.
  • [REMOTE_CODE_EXECUTION]: Instructions specify the installation of legitimate libraries like llama-cpp-python and transformers via pip, which are standard requirements for the described workflows.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 28, 2026, 06:06 PM