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gemma-4-E4B-it

Gemma family · 8.0B params

3recorded runs
161.5best tok/s
2verified

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-E4B-it numbers mean

The fastest verified result on our board is 137.0 output tok/s on an Radeon AI Pro R9700 at Q4_K_M with a 2048-token context. That is about 7.3 ms per generated token — 500 tokens takes roughly 3.6 seconds. Prompt processing on the same record runs at 4441.8 tok/s, so a 2,000-token prompt is read in about 0.5 seconds. Across the 3 records we hold for this model the range is 70.9–161.5 tok/s on 3 GPUs, because quantisation, context length and the engine build all move the number.

How much VRAM does gemma-4-E4B-it need?

gemma-4-E4B-it has 8.0B 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.

QuantisationEstimated VRAMSmallest card that fits
Q4_K_M (4-bit)6.0 GB8 GB
Q8_0 (8-bit)10.6 GB16 GB
FP16 (16-bit)19.2 GB24 GB

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.

Fastest GPUs for this model (best tok/s)
  1. RTX 5090161.5
  2. Radeon AI Pro R9700137.0
  3. RTX 306070.9

Models with a similar footprint

ModelParamsQ4_K_M weights
AceReason-Nemotron-1.1-7B8B4.5 GB
DeepSeek-R1-0528-Qwen3-8B8B4.5 GB
DeepSeek-R1-Distill-Qwen-7B8B4.5 GB
granite-4.2-8b8B4.5 GB
InternVL3-8B8B4.5 GB
LFM2-8B-A1B8B4.5 GB

Ranked by distance from gemma-4-E4B-it's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
Radeon AI Pro R9700 · 32 GBgemma-4-E4B-itQ4_K_Mllama.cpp b9333-35c9b1f392048137.0 ✓4441.8—src
RTX 3060 · 12 GBgemma-4-E4B-itQ4_K_Mllama.cpp b104433276870.9 ✓2051.03.5src
RTX 5090 · 32 GBgemma-4-E4B-itQ8_0lmstudio —2048161.5 …577.3—src
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