DiggTop ⌕

gemma-3n-E4B-it-text

Gemma family · 4.0B params

1recorded run
135.4best tok/s
0verified

Evidence: 0 sourced runs · 1 awaiting review · 1 independent source · first recorded Aug 17, 2026. What these labels mean.

What the gemma-3n-E4B-it-text numbers mean

The fastest result on our board is 135.4 output tok/s on an RTX 5090 at Q8_0 with a 2048-token context. That is about 7.4 ms per generated token — 500 tokens takes roughly 3.7 seconds. Prompt processing on the same record runs at 545.5 tok/s, so a 2,000-token prompt is read in about 3.7 seconds.

How much VRAM does gemma-3n-E4B-it-text need?

gemma-3n-E4B-it-text has 4.0B 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)3.4 GB8 GB
Q8_0 (8-bit)5.7 GB8 GB
FP16 (16-bit)10.0 GB12 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 5090135.4

Models with a similar footprint

ModelParamsQ4_K_M weights
NVIDIA-Nemotron-3-Nano-4B4B2.2 GB
Phi-4-mini-reasoning4B2.2 GB
Qwen3-4B4B2.2 GB
Qwen3-4B-Thinking-25074B2.2 GB
Qwen3.5-4B4B2.2 GB
Qwen3.5-4B-MTP4B2.2 GB

Ranked by distance from gemma-3n-E4B-it-text's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
RTX 5090 · 32 GBgemma-3n-E4B-it-textQ8_0lmstudio —2048135.4 …545.5—src
↑