Gemma 4 31B VRAM requirements

VRAM by quantization

Weights plus the KV cache for 8,192 tokens in FP16 and the runtime overhead (0.5 GB plus 10%). Each row opens the calculator with that setting. What the GGUF names mean.

KV cache at long context

10 of its 60 layers use full attention and 50 keep a sliding window of 1,024 tokens. Each extra token of context adds 40 KB of FP16 cache per request once the sliding windows are full. How the KV cache works.

Which GPUs can run Gemma 4 31B

With 8,192 tokens of context. Several GPUs means one tensor-parallel group of 2, 4 or 8 cards.

How fast Gemma 4 31B writes

Tokens per second for one request with 8,192 tokens of context, estimated from memory bandwidth. A dash means it does not fit on one card. Try other settings in the speed calculator.

Longest context on one GPU

How many tokens of context fit on a single card with one request and an FP16 KV cache. "Full" means the model's whole context window fits.

Model details

Parameters

31.3B (31,273,088,876)

Layers

10 of its 60 layers use full attention and 50 keep a sliding window of 1,024 tokens

Attention cache

4 KV heads × 512 (keys double as values)

Sliding-window layers

16 KV heads × 256

Context length

262,144 tokens

Published weights

58.3 GB (BF16)

On Hugging Face

google/gemma-4-31B-it

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