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Can RTX 4090 24GB run gemma-4-26B-A4B-it?

NVIDIA · 24 GB GDDR6X · 1008 GB/s bandwidth · Google · 25.2B (active 3.8B) · MoE · model ctx up to 256K

✅ Yes — RTX 4090 24GB (24 GB) can run gemma-4-26B-A4B-it at Q4 (8K)
VRAM: 15.42 GB needed of 24 GB
Speed: ~226.6 tok/s (estimated)
BB · GoodComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA
Excellent for 💬 chatExcellent for ⌨️ codingExcellent for 📋 general
Estimates from memory-bandwidth formula; rows marked "measured" override. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K15.27 GBYes226.6 ± est.
Q48K default15.42 GBYes226.6 ± est.
Q432K16.36 GBYes226.6 ± est.
FP164K51.56 GBNo28.7 ± est.
FP168K default51.71 GBNo28.5 ± est.
FP1632K52.65 GBNo27.5 ± est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededRTX 4090 24GB VRAM
Q414.11 GB0.31 GB1 GB15.42 GB24 GB
FP1650.4 GB0.31 GB1 GB51.71 GB24 GB

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