Google

Gemma 4 26B-A4B

visionMoE

25,8B

Parameters · 4B active

15,9 Go

Q4_K_M file

≥ 17,4 Go

Recommended VRAM

262 144

Max context

Not measured yet

No card has run the TokenBench protocol on this model yet. The current protocol covers a selection of models; benchmarking any catalog model from the app is coming soon.

Measure my card →

Which cards should it fit on?

Cards on the site whose video memory covers the recommended 17,4 Go (file + 4,000-token context). An estimate, not a measurement. Click a card for the detailed estimate.

Technical sheet

Published
2026-03-11
Architecture
30 layers · 8 KV heads · dimension 256
Attention
Sliding window: 5 of 30 layers keep the whole context, the others only the last 1024 tokens — a much lighter cache.
Context cache (f16)
≈ 39 MB per 1,000 tokens · 1,3 Go for 32,768 tokens
GGUF file
bartowski/google_gemma-4-26B-A4B-it-GGUF · google_gemma-4-26B-A4B-it-Q4_K_M.gguf Download (15,9 Go)

Public Hugging Face data (official config.json, GGUF repo). The context cache only counts full-attention layers.