LLM VRAM Calculator for AI Model Inference

Local AI planning

LLM VRAM Calculator

Estimate inference memory for quantized language models, context cache, and runtime overhead.

Model parameters (billions)

Weight precision

Context length

Runtime overhead (%)

Estimated VRAM3.9 GBInference estimate, not a hardware guaranteeSuggested capacity8 GB GPU

Weights3.3 GBKV cache estimate0.0 GB

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Enter the model parameter count.

Choose weight precision and context length.

Review estimated VRAM and suggested GPU capacity.

No. Architectures and runtimes vary, so use it as a practical planning estimate.

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