/

LLMs & Reasoning

/

Quantization

Quantization

/ quantization /

Compressing model weights to lower precision to cut cost and latency, usually with minimal quality loss.

Compressing model weights to lower precision to cut cost and latency, usually with minimal quality loss.

Why it matters

Compressed models are cheaper and faster to serve — usually at negligible quality cost. Verifying that ‘usually’ with evals is the responsible path to savings.

Related — LLMs & Reasoning