🔮The Codex
Quantization
Compressing AI models to use less memory and run faster with minimal quality loss.
📖 Apprentice Explanation
Quantization makes AI models smaller and faster by reducing their precision. It's like compressing a photo — you lose a tiny bit of quality but it takes up much less space.
🧙 Archmage Notes
Quantization reduces model weights from FP32/FP16 to INT8/INT4. Methods include GPTQ, AWQ, GGUF, and bitsandbytes. 4-bit quantization typically reduces model size by 4x with <5% quality degradation on benchmarks.