250M Parameter Quantized Model Achieves 400 tok/s on CPU
August 22, 2026
A 250M parameter model trained on 30B tokens achieves 400 tok/s on a laptop CPU using sub-2-bit quantization. It utilizes a compressed 1-bit disk cache for long-context retrieval, supporting up to 100M tokens of history in roughly 320 MB of disk space.
HOW THIS AFFECTS YOU
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builderYou can deploy highly efficient, long-context retrieval models on edge hardware without a GPU.
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founderThis demonstrates a path toward extremely low-cost, high-speed local AI deployment for consumer devices.