domains / families / data / hf-mem
hf-mem
combined
Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub
When to use
- User asks how much VRAM or memory a model needs to run
- User wants to know if a model fits on their GPU or a given instance
- User references a Hugging Face model ID or URL and asks about inference requirements
When not to use
- Use this skill only when the task clearly matches its upstream product or API scope.
- Verify commands, API behavior, pricing, quotas, credentials, and deployment effects against current official documentation before making changes.
- Do not treat generated examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
Skill page
Conflict
The huggingface/skills copy is the upstream procedure, but the sickn33/agentic-awesome-skills copy adds material operational constraints (pinned reviewed version, credential handling, private cache, no credential printing) and a verification/limitations section that the upstream copy lacks. Crowning the upstream copy would hide those real alternative constraints, so the copies should be combined.