54.4%
Opus 5.5 osiągnął 54,4%, wyprzedzając GPT-6 Astra (53,3%), Fable 5.1 (50,3%) i Opus 5 (48,0%)
Anthropic09/2026global
A model file format where weights are quantized — stored with lower precision, for example using four bits instead of sixteen. The model becomes several times smaller, with only a minor drop in quality.
Why it matters
It determines whether a model can run on your own hardware. The same image generator weighs 34 GB in full precision and 11.5 GB in GGUF — the first version won't fit on a typical server, the second one will.
What's missing without it
Without quantization, working with large models requires graphics cards costing tens of thousands of zloty or renting cloud computing power, along with sending your data to the cloud.
When it is used
When running models on your own servers and computers. File name labels like Q4_K_M or Q5_K_M indicate how much the model has been compressed.
How we use it
Q4_K_M is a reasonable balance — four times smaller file size with quality loss that's invisible in editorial content. Below Q4, degradation becomes noticeable in facial details and small text.
Numbers worth knowing