Unverified50% confidenceFactExact time
Small language models can be compressed to a few hundred MB or even smaller after quantization, making them small enough to store locally on a phone.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedDeploying models on mobile phones typically requires compressing the model to within tens of MB, and is subject to constraints from processor computing power and battery life.76% similarUnverifiediPhones have a maximum of only 8 GB of unified memory, while mainstream large language models have parameter counts exceeding 100 billion and require hundreds of GB of memory for full-precision storage, making model compression a necessary condition for deploying large models on-device.69% similarUnverifiedStoring a 1-million-token conversation now requires less than 1 GB of memory, whereas larger previous-generation models required at least 3.7 GB.69% similarUnverified嵌入模型通常只有几百MB大小，将文本转化为768维（或其他维度）的向量69% similar
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