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skill collection · Use or study

huggingface-local-models

Choose and configure a model for local inference.

huggingface/skillsskills/huggingface-local-models/SKILL.md

Before you use it

Input
Your CPU or GPU environment, available memory and desired model task.
Expected output
A source-guided local model and quantization workflow.
Prerequisites
Requires a suitable local runtime and hardware. Check the model’s terms separately; local inference is not a promise of zero network activity during setup.

Publisher guidance starts with hf-cli; other workflows are installed separately. The marketplace entry is not a claim that every workflow is bundled. Review the chosen client's instructions, local hardware, authorization and possible cloud charges. Codex is described without a single surface-specific runtime test; no Codex surface is certified here.

Publisher documentation, static file observations and environment tests are different kinds of evidence. Runtime behavior has not been observed.

Study the method

Read the hardware, Hub discovery and quantization references side by side.

4 files in the observed scope; 0 in scripts/, 3 in references/, 0 in assets/.

Zero files in scripts/ does not mean no execution, network access or file writes. Markdown and other folders may describe or contain executable behavior.

Source version and requirements

Observed
2026-09-08T11:53:42.181Z
Source commit
97862b0fcc89c850fdd00c82ede1e62d3c930a6d
Content SHA-256
814640db1d5f2f274aec09d66b3589ed5a0fdcfaf536afd508b1d757dcae1534
License
Apache-2.0
Author attribution
Repository owner: huggingface. Individual authorship is not independently established.
Read applicable source license

This page describes a pinned source snapshot, not the latest repository state. Changes after this commit have not been reconciled here. A repository license does not necessarily cover external models, datasets or services.

Open current repository
Reference note and manual copy