Quantization: The Size vs Quality Trade-Off
Quantization shrinks AI models via fewer bits per value, trading some quality for smaller size and faster inference.
“a slightly worse model that actually fits your setup can still be much more useful than the full precision version”
Hugging Face explains quantization as a size-versus-quality trade-off, covering Q8/Q4 formats, one-bit models like Bonsai, and quantization-aware training such as Gemma QAT. It is a solid educational primer on deploying smaller models but contains no major announcement or breaking industry signal.