Deployment context

Mobile sLM deployment becomes practical only when the model, runtime, and target device are considered together. Production deployment requires memory-aware graph changes, precision mapping, and hardware-specific execution planning.

ModelAdaptationQuantizationOptimizationDevice
Engineering constraints
  • Static shapes reduce runtime ambiguity on constrained accelerators.
  • Memory layout and KV cache behavior determine sustained inference.
  • Mixed precision must be calibrated against task accuracy and device throughput.
ConstraintWhy it mattersOptimization path
MemoryLimits context length and batch strategyCache adaptation and layout planning
LatencyControls product usabilityOperation fusion and accelerator scheduling
PowerDetermines sustained inferenceNPU-first execution and precision mapping