Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Run a GGUF model locally with llama.cpp v1.0.0

Use this resource to run a GGUF model locally with llama.cpp

New

  • 443 downloads
  • 197 likes
  • 145 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install local-gguf-inference-llamacpp

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent finds the right GGUF file in a Hugging Face repo, chooses the quantization variant for your hardware, then builds the llama-server or llama-cli command. You get a ready-to-run command and a check of the OpenAI-compatible server.

Mostly picked by

Updated November 2, 2026

Card for the “Run a GGUF model locally with llama.cpp” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: model discovery, installation and quick start
  • references/: server, quantization, optimisation, Hub and troubleshooting

Good fit for

  • You want a local model on a computer without a dedicated GPU
  • You are looking for the Q4 or Q5 quantization that fits your memory

Not for

    Tags

    • llama.cpp
    • gguf
    • quantization
    • local inference
    • hugging face

    About

    You say

    “Find the Q4 GGUF of an 8B model for 16 GB of RAM and give me the llama-server command.”

    Card for the “Run a GGUF model locally with llama.cpp” skill

    Skill published by Orchestra Research under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to run a GGUF model locally with llama.cpp
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/advanced-usage.md10.6 KB
    • references/hub-discovery.md5 KB
    • references/optimization.md1.6 KB
    • references/quantization.md5.8 KB
    • references/server.md2.8 KB
    • references/troubleshooting.md8.7 KB
    • SKILL.md8.7 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/nousresearch/hermes-agent/tree/0c74cc682dc81bf78b78a1737b3ee77a820ccb79/optional-skills/mlops/inference/llama-cpp
    Licence
    MIT

    Notice

    « llama-cpp » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.