Tag: Quantization

INT8 vs FP16 vs INT4: Which Precision Is Best for Edge Devices?

Why Precision Matters in Real DevicesWhat Is INT8 vs FP16 vs INT4 InferenceHow INT8 vs FP16 vs INT4 Inference WorksEdge Device Architecture ImpactPerformance CharacteristicsReal-World ApplicationsLimitationsWhy It MattersWhich One Should You Care About?Key TakeawaysWhat This Means for You INT8, FP16, and…

Quantization vs Pruning: Optimizing LLMs for Edge Devices

QuantizationPruningArchitectural DifferencesLatencyTOPS (Tera Operations Per Second)Power ConsumptionMemory Footprint & BandwidthSoftware EcosystemDeployment ConsiderationsWhich Design Is More EfficientKey Takeaways This Quantization vs Pruning comparison explains how both optimization strategies affect edge LLM deployment efficiency. For large language models (LLMs) on edge devices, quantization primarily optimizes the numerical…