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quantization

Complete guide to GGUF quantization formats and model conversion.

  • Skills
  • AI research
  • 5

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/quantization && curl -fsSL https://doutorai.pt/data/lib/skills__quantization.md -o .claude/skills/quantization/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# GGUF Quantization Guide

Complete guide to GGUF quantization formats and model conversion.

## Quantization Overview

**GGUF** (GPT-Generated Unified Format) - Standard format for llama.cpp models.

### Format Comparison

| Format | Perplexity | Size (7B) | Tokens/sec | Notes |
|--------|------------|-----------|------------|-------|
| FP16 | 5.9565 (baseline) | 13.0 GB | 15 tok/s | Original quality |
| Q8_0 | 5.9584 (+0.03%) | 7.0 GB | 25 tok/s | Nearly lossless |
| **Q6_K** | 5.9642 (+0.13%) | 5.5 GB | 30 tok/s | Best quality/size |
| **Q5_K_M** | 5.9796 (+0.39%) | 4.8 GB | 35 tok/s | Bala

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