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Can RTX 4080 Super 16GB run gemma-4-E2B-it?

NVIDIA · 16 GB GDDR6X · 736 GB/s bandwidth · Google · 5.1B · model ctx up to 128K

Yes — the RTX 4080 Super 16GB (16 GB GDDR6X) can run gemma-4-E2B-it. At Q4 with the default 8K context it needs ≈ 4.83 GB VRAM (weights 2.81 GB + KV cache 1.02 GB + 1 GB runtime overhead), which fits within 16 GB. Decode at Q4/8K: ≈ 91.8 tok/s (estimated, batch 1). FP16 (≈ 12.22 GB) also fits, at ≈ 25.3 tok/s (estimated). 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)
Q44K4.32 GBYes91.8 est.
Q48K default4.83 GBYes91.8 est.
Q432K7.88 GBYes91.8 est.
FP164K11.71 GBYes25.3 est.
FP168K default12.22 GBYes25.3 est.
FP1632K15.28 GBNo79.1 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 4080 Super 16GB VRAM
Q42.81 GB1.02 GB1 GB4.83 GB16 GB
FP1610.2 GB1.02 GB1 GB12.22 GB16 GB

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