← AI Hashrate

Can RTX 3090 24GB run gemma-4-26B-A4B-it?

NVIDIA · 24 GB GDDR6X · 936 GB/s bandwidth · Google · 25.2B (active 3.8B) · MoE · model ctx up to 256K

Yes — the RTX 3090 24GB (24 GB GDDR6X) can run gemma-4-26B-A4B-it. At Q4 with the default 8K context it needs ≈ 15.62 GB VRAM (weights 13.86 GB + KV cache 0.76 GB + 1 GB runtime overhead), which fits within 24 GB. Decode at Q4/8K: ≈ 156.7 tok/s (estimated, batch 1). FP16 needs ≈ 52.16 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K15.24 GBYes156.7 est.
Q48K default15.62 GBYes156.7 est.
Q432K17.9 GBYes156.7 est.
FP164K51.78 GBNo26.5 est.
FP168K default52.16 GBNo26.1 est.
FP1632K54.44 GBNo23.9 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 3090 24GB VRAM
Q413.86 GB0.76 GB1 GB15.62 GB24 GB
FP1650.4 GB0.76 GB1 GB52.16 GB24 GB

Other GPUs that run gemma-4-26B-A4B-it

All GPUs for gemma-4-26B-A4B-it →

Other models for the RTX 3090 24GB

All models on the RTX 3090 24GB →