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  5. Model Quantization (Inference)
Inference & Deploymentaka weight quantizationaka PTQ

Model Quantization (Inference)

Converting model weights to lower precision at inference time to reduce memory and increase throughput.

Ask Melo about this← all terms

Converting model weights and/or activations from higher precision (FP16/BF16) to lower precision (INT8, INT4, FP8) at inference time, reducing memory footprint and increasing throughput at a small accuracy cost.

Related terms

Model WeightsInference OptimizationInference CostTensorRT-LLMllama.cppServerless Inference