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How to solve the problem of running out of memory when running AI offline on your phone?

2025-09-10 2.1 K

Specific solutions to optimize memory management

Pocket AI solves the memory problem by the following intelligent design: 1. models are loaded on-demand, and only the base module is loaded at startup; 2. dynamic unloading mechanism is adopted, and the idle model components are automatically released; 3. multi-specification models are provided to choose from (e.g., DeepSeek-R1 is only 5.37GB). Operation Suggestion: Choose the lightweight version with 'Lite' suffix in the model configuration page, or enable the automatic cache clearing function through "Settings - Memory Optimization".

  • Contingency: manually clear the dialog history when there is a memory warning (left swipe record - select all to delete)
  • Advanced solution: developers can adjust the memory threshold by modifying the memory_threshold parameter in config.json

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