Llama.cpp Optimization Cheat Sheet

Optimize and run Llama models locally with llama.cpp. Quantization, performance tuning, GPU acceleration.

Last Updated: December 24, 2025

Installation

Build from source, pre-built binaries

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Detailed explanation for installation
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Detailed explanation for installation
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Detailed explanation for installation
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Detailed explanation for installation

Model Conversion

Convert to GGUF format

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Detailed explanation for model conversion
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Detailed explanation for model conversion
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Detailed explanation for model conversion
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Detailed explanation for model conversion

Quantization Options

q4_0, q4_K_M, q8_0 explained

Key point 1
Detailed explanation for quantization options
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Detailed explanation for quantization options
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Detailed explanation for quantization options
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Detailed explanation for quantization options

Command Line Usage

Run models, parameters, options

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Detailed explanation for command line usage
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Detailed explanation for command line usage
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Detailed explanation for command line usage
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Detailed explanation for command line usage

GPU Acceleration

CUDA, Metal, OpenCL

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Detailed explanation for gpu acceleration
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Detailed explanation for gpu acceleration
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Detailed explanation for gpu acceleration
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Detailed explanation for gpu acceleration

Performance Tuning

Batch size, context, threads

Key point 1
Detailed explanation for performance tuning
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Detailed explanation for performance tuning
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Detailed explanation for performance tuning
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Detailed explanation for performance tuning
💡 Pro Tip: Master the fundamentals first before moving to advanced techniques. Practice regularly and refer to this cheatsheet for quick reference.
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