Unverified60% confidenceFactExact time
A 2B-parameter model after INT4 quantization typically requires only about 1–2 GB of memory and can run on mainstream smartphones, NVIDIA Jetson series, and other edge devices.
2
Sources
60%
Confidence
Long-term
Relevance
9/9/2026
First Seen
Sources
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Related Claims
UnverifiedA developer connected an iPhone 17 Pro Max to a 24GB-memory M4 Pro MacBook via a 10 Gb/s USB-C cable, using the phone as a second GPU to share the computational load for a locally running Qwen 3.8 27B (IQ4_XS quantization) model.69% similarUnverifiedThe iOS export uses Core ML 8-bit weights, with a model size of 26MB and 99.96% agreement with fp32 labels, and in the keyboard it actually uses the CPU compute unit, taking about 4ms per sentence in a release build; the Android version uses ONNX opset 17 with int8 dynamic quantization, 27MB, 99.1% agreement, and likewise about 4ms per sentence on CPU.68% similar
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