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  1. Home
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Hugging Face

Hugging Face Local Models

Choose and run local GGUF models with llama.cpp across CPU, Apple Metal, CUDA and ROCm environments.

AI and dataPublisher repository

What does it do?

Choose and run local GGUF models with llama.cpp across CPU, Apple Metal, CUDA and ROCm environments.

Read the publisher's original description

Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.

Read SKILL.md

Source information

Repository
huggingface/skills
Revision
25910b3
Source check
November 11, 2026
License
Apache-2.0
Content
4 files
File verification hash
SKILL.md / SHA-256814640db1d5f2f274aec09d66b3589ed5a0fdcfaf536afd508b1d757dcae1534

Know the source and the review scope.

This record comes from the publisher's repository. The skill and supporting files have not undergone a security audit. Review the contents and required permissions before installing.

Read the selection policy

Add to project

In your project folder's terminal
npx skills add 'https://github.com/huggingface/skills/tree/25910b3d0ba31a2ba102f901cdc9e008c278a69c/skills/huggingface-local-models' -a claude-code

Requires Node.js 22.20 or later. The command targets the catalog's pinned revision.

  1. 1Run the command in your project folder.
  2. 2Confirm the skill and target in the CLI.
  3. 3Restart your agent and invoke the skill by name.

Other agents may require an external tool or adaptation.

Download repository ZIP

The ZIP includes the entire repository and its supporting files.

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