How does the GPU VRAM Calculator work?

VRAM (bytes) = Parameters × bytes per parameter Then: FP32: 4 bytes/param, FP16/BF16: 2 bytes, INT8: 1 byte, INT4: 0.5 bytes Then: Add ~20% overhead for activations and KV cache Then: 7B model at FP16 = 7B × 2 = 14GB minimum.

Can you give an example of how to use the GPU VRAM Calculator?

Example: Input 7B params at FP16 gives a result of ~14GB VRAM minimum (RTX 3090 or better).

Is the GPU VRAM Calculator free to use?

Yes — completely free with no registration, download, or subscription required. All calculations happen instantly in your browser.

How accurate is the GPU VRAM Calculator?

Our GPU VRAM Calculator uses verified mathematical formulas and is accurate to multiple decimal places. Results are calculated in real-time using the same methods used by professionals.

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GPU VRAM Calculator

GPU VRAM Calculator for LLMs

Model Size (billions of params)

Precision

A GPU VRAM calculator estimates the video RAM required to run a large language model locally. VRAM requirements depend on model size (parameters) and numerical precision (quantization).

Symbol	Name	Unit	Description
P	Model parameters	billions	Model size (e.g., 7B, 13B, 70B)
bits	Precision	bits	8 (int8), 16 (float16/bfloat16), 32 (float32)
VRAM	VRAM required	GiB	Video memory needed

Model Size	FP16 VRAM	INT8 VRAM	INT4 VRAM
7B	14 GB	7 GB	3.5 GB
13B	26 GB	13 GB	6.5 GB
30B	60 GB	30 GB	15 GB
70B	140 GB	70 GB	35 GB
140B	280 GB	140 GB	70 GB

References

›LLM quantization guide — Hugging Face

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Estimate VRAM needed to run any LLM locally. Instant result with formula, worked example and step-by-step solution. No signup required.

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GPU VRAM Calculator

GPU VRAM Calculator for LLMs

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Model Size vs VRAM Requirements

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