Cider Quantization: Engineering Trade-offs in On-Device Inference
Most conversations about on-device models start and end with one question: how much did quantization speed things up? That is the easiest question to answer and the least important. The trade-offs that decide whether a quantized agent is usable sit where no speed benchmark reaches. Here are the one…
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- 2026-10-28 04:15 · DEV Community — Machine Learning
Cider Quantization: Engineering Trade-offs in On-Device Inference