Unverified50% confidenceFactExact time
Local models are machine learning models that run directly on the user's device, usually compressed with techniques such as quantization or distillation to reduce memory and compute requirements.
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Long-term
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11/1/2026
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UnverifiedModel quantization, knowledge distillation, and speculative decoding are the three mainstream model compression paths used to run multimodal models in real time on mobile devices.75% similarUnverifiedSo-called "the model runs on-device" usually means deploying a parameter-compressed model (possibly quantized, such as 4-bit or 8-bit) locally, with inference performed by the device's own CPU, GPU, or neural engine rather than via a remote server.75% similarUnverifiedLocal inference means a machine learning model runs on the user's own device rather than sending data to a remote server for processing.74% similarVerifiedModel quantization, speculative decoding, and continuous batching are software techniques used to reduce inference latency.73% similarVerified模型蒸馏是将大模型的能力压缩到小模型中以降低推理成本的技术73% similar
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