gemma-4-E2B-it

Gemma family · 5.0B params

Evidence: 2 sourced runs · 1 awaiting review · 1 independent source · first recorded May 26, 2026 · last recorded Aug 18, 2026. What these labels mean.

What the gemma-4-E2B-it numbers mean

The fastest verified result on our board is 169.7 output tok/s on an Radeon AI Pro R9700 at Q8_0 with a 2048-token context. That is about 5.9 ms per generated token — 500 tokens takes roughly 2.9 seconds. Prompt processing on the same record runs at 9649.1 tok/s, so a 2,000-token prompt is read in about 0.2 seconds. Across the 3 records we hold for this model the range is 113.4–232.6 tok/s on 3 GPUs, because quantisation, context length and the engine build all move the number.

How much VRAM does gemma-4-E2B-it need?

gemma-4-E2B-it has 5.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.

Long contexts and large batches raise the real number — read the smallest card as "possible with a reduced context". Measured throughput is on the benchmark board.

Models with a similar footprint

Ranked by distance from gemma-4-E2B-it's parameter count. Full benchmark board.

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