Gguf Quantization
Reduces LLM file sizes & speeds up inference by quantizing GGuf models – making them more efficient to run and deploy.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add gguf-quantization npx -- -y @trustedskills/gguf-quantization
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"gguf-quantization": {
"command": "npx",
"args": [
"-y",
"@trustedskills/gguf-quantization"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows you to quantize large language models (LLMs) into the GGUF format. GGUF is a file format designed for efficient inference, particularly on CPU and lower-end hardware. Quantization reduces model size and memory footprint while maintaining acceptable performance.
When to use it
- Deploying LLMs on resource-constrained devices: Run models on Raspberry Pis, mobile phones, or other devices with limited RAM.
- Reducing inference latency: Smaller quantized models generally load faster and have quicker inference times.
- Sharing models more easily: GGUF files are often easier to distribute and share than larger original model formats.
- Experimenting with different quantization levels: Evaluate the trade-off between model size, speed, and accuracy by trying various quantization methods.
Key capabilities
- Converts LLMs into GGUF format.
- Supports various quantization methods (e.g., Q4_K_M, Q5_K_M).
- Reduces model file sizes significantly.
- Optimizes for CPU inference.
Example prompts
- "Quantize this Llama 2 model to a Q4_K_M GGUF format."
- "Convert the Mistral-7B model into GGUF using the lowest quantization level possible."
- “Create a GGUF version of this Falcon model, suitable for running on a Raspberry Pi.”
Tips & gotchas
- Ensure you have sufficient disk space to store both the original model and the quantized GGUF file.
- Lower quantization levels (e.g., Q2) will result in smaller files but may also lead to noticeable accuracy degradation.
Tags
TrustedSkills Verification
Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.
Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.