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AI Model
VRAM Calculator

Instantly find out how much GPU memory you need to run any AI model at any quantization level. Stop guessing — start inferring.

1 · Choose AI Model

2 · Precision / Quantization

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Choose a model and quantization format above to instantly see GPU requirements

🧮How the Calculation Works

The VRAM requirement is more than just the model file size. A context buffer must be allocated at runtime:

VRAM = File Size
+ (Context × Params × 2 / 1,000,000)
+ 2GB system buffer

The 2GB buffer accounts for the OS, CUDA runtime, and KV-cache overhead.

⚙️Which Quantization to Choose?

Q4_K_M

4-bit — Best speed vs quality balance. Ideal for most users.

Q8_0

8-bit — Near-lossless quality. Good for production use.

FP16

16-bit — Full precision half-float. Maximum quality, high VRAM.

FP32

32-bit — Full precision. Research only — extreme VRAM usage.

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Popular VRAM Lookups

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