Expired50% confidenceFactExact time
Some iPhones are equipped with a local model with 20 billion parameters that uses a sparse architecture, with only 1 billion to 4 billion parameters active at any given moment.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/14/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/12/2026(expired)
Sources
PrismML突破：270亿参数大模型如何跑进iPhone？
Related Claims
UnverifiedApple's on-device model reportedly has 20 billion parameters and uses an MoE-style partial activation mechanism, activating only 1 billion to 4 billion parameters per inference.82% similarUnverifiedA model with 100 billion parameters requires approximately 80 GB of VRAM to process a single inference request, while a model with tens of billions of parameters requires only about 20 GB.71% similarUnverified目前能在手机端流畅运行的模型参数量通常在30亿至70亿级别，与云端数千亿参数的旗舰模型存在数量级差距70% similarUnverified参数量仅10亿至70亿的小语言模型在特定任务上可以逼近参数量百倍于它的大模型65% similarUnverifiedAlibaba's new-generation Qianwen model has 2.4 trillion parameters, making it the first multimodal large model in the series to exceed one trillion parameters; its code generation accuracy is reportedly 94.7%, an improvement of approximately 11 percentage points over the previous generation.62% similar
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