hf_mem estimates the required memory for inference, including model weights and an optional KV cache, for Safetensors and GGUF for models on the Hugging Face Hub using HTTP Range requests i.e., without downloading or loading any weights locally.

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

What are the requirements?

uv installed (for uvx)
HF_TOKEN from the host's private credential handling for gated/private repositories; avoid putting tokens in command arguments, logs or reports.
A reviewed pinned hf-mem package version and permission to access the requested model metadata. This skill does not bundle the executable.

How to run?

The angle-bracket and square-bracket forms below are usage notation, not shell commands to paste literally. Quote actual model IDs and file paths. Inspect the selected package's --help, choose a reviewed version (for example with uvx --from "hf-mem==REVIEWED_VERSION" hf-mem ...) and use a private cache where metadata is sensitive. Do not print credentials.