Understanding Quantization

Learn about Q4, Q5, Q8 and what they mean for performance and quality.

What is Quantization?

[Placeholder: Quantization reduces model size by using fewer bits to represent weights]

[Placeholder: Visual comparison of bit representations]

Largest

[Placeholder: Original model size, best quality]

✓ Highest quality

✗ Requires most memory

~50% size

[Placeholder: Minimal quality loss, half the size]

✓ Near-original quality

✓ 50% memory reduction

~40% size

[Placeholder: Good balance of quality and size]

✓ Excellent quality/size ratio

✓ Most recommended

~25% size

[Placeholder: Smallest practical size, slight quality drop]

✓ 75% memory reduction

✓ Still good quality

~ Best for limited VRAM

[Placeholder: Interactive calculator]

Enter your VRAM to see which quantizations fit for different models

[Placeholder: Quantization techniques explained]

Technical deep dive

[Placeholder: GGUF format guide]

Understanding quantization formats

[Placeholder: Quality benchmarks]

Comparing quantization quality