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Skills · SkillData & AIMachine learningReviewedMakes network calls

huggingface-local-models

Picks models to run locally with llama.cpp and GGUF on CPU, Metal, CUDA or ROCm: finding GGUFs, quantization, local servers and conversion.

Kind
Skill
Works with
Claude Code
Languages
C / C++
Source
Hugging Face Skills @ 25910b3d0ba3
Path
skills/huggingface-local-models/SKILL.md
Jobs
Implementation
Topics
Machine learning

Credit

Made by
huggingface
Original
github.com/huggingface/skills/blob/25910b3d0ba31a2ba102f901cd…
License
Apache-2.0

Listed by Skill Manifest; not made by us.

InstallInstall it by hand, following the source.
hf skills add huggingface-local-models
Install factsScanned 2 Nov 2026
Adds
  • .claude/skills/huggingface-local-models/ (the skill folder)
  • 3 file(s) the skill refers to
Runs scripts
Yes
  • convert_hf_to_gguf.py
  • shell block in the text
Uses the network
Yes
  • installs system packages
  • git clone / pull / push
  • curl / wget
Needs secrets
None found
Source revision
25910b3d0ba3
Licence
Apache-2.0
Last activity
30 Oct 2026
Review
Reviewed

Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.

  • Only the main file is read; other files in the folder are not scanned
# Hugging Face Local Models

Search the Hugging Face Hub for llama.cpp-compatible GGUF repos, choose the right quant, and launch the model with `llama-cli` or `llama-server`.

## Default Workflow

1. Search the Hub with `apps=llama.cpp`.
2. Open `https://huggingface.co/<repo>?local-app=llama.cpp`.
3. Prefer the exact HF local-app snippet and quant recommendation when it is visible.
4. Confirm exact `.gguf` filenames with `https://huggingface.co/api/models/<repo>/tree/main?recursive=true`.
5. Launch with `llama-cli -hf <repo>:<QUANT>` or `llama-server -hf <repo>:<QUANT>`.
6. Fall back to `--hf-repo` plus `--hf-file` when the repo uses custom file naming.
7. Convert from Transformers weights only if the repo does not already expose GGUF files.

## Quick Start

### Install llama.cpp

```bash
brew install llama.cpp
winget install llama.cpp
```

```bash
git clone https://github.com/ggml-org/llama.cpp
cd llama.cpp
make
```

### Authenticate for gated repos

```bash
hf auth login
```

### Search the Hub

```text
https://huggingface.co/models?apps=llama.cpp&sort=trending
https://huggingface.co/models?search=Qwen3.6&apps=llama.cpp&sort=trending
…