FreeSkills
Commits, branches and sync with the but CLI
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Works with
- Claude Code
- Codex
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- and 3 more
GGUF conversion and quantization for llama.cpp v1.0.0
Use this resource to convert and quantize a model to GGUF for local inference
New
- 495 downloads
- 127 likes
- 215 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install gguf-llama-cpp-quantizationWith 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 loginThe agent builds llama.cpp with the right acceleration, converts the Hugging Face model to GGUF, then picks the quantization level. You get a GGUF file that runs locally with LM Studio, Ollama or llama.cpp.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: building llama.cpp (CPU, CUDA, Metal) and conversion
- references/advanced-usage.md: advanced quantization options
- references/troubleshooting.md: conversion and build errors
Good fit for
- You want to run a model on a laptop without a GPU
- You must provide a local model to users on Mac
Not for
Tags
- gguf
- llama.cpp
- quantization
- local
About
You say
“Convert this Hugging Face model to GGUF and quantize it to Q4_K_M for my M2 Mac.”
Skill published by davila7 under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to convert and quantize a model to GGUF for local inference
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/advanced-usage.md11.1 KB
- references/troubleshooting.md9.1 KB
- SKILL.md10.5 KB
Origin and licence
Listed unmodified
- Author
- davila7
- Source
- github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/optimization-gguf
- Licence
- MIT
Notice
« optimization-gguf » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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