gemma-4-E4B-it
3recorded runs
161.5best tok/s
2verified
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.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 6.0 GB | 8 GB |
| Q8_0 (8-bit) | 10.6 GB | 16 GB |
| FP16 (16-bit) | 19.2 GB | 24 GB |
Fastest GPUs for this model (best tok/s)
- RTX 5090161.5
- Radeon AI Pro R9700137.0
- RTX 306070.9
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| AceReason-Nemotron-1.1-7B | 8B | 4.5 GB |
| DeepSeek-R1-0528-Qwen3-8B | 8B | 4.5 GB |
| DeepSeek-R1-Distill-Qwen-7B | 8B | 4.5 GB |
| granite-4.2-8b | 8B | 4.5 GB |
| InternVL3-8B | 8B | 4.5 GB |
| LFM2-8B-A1B | 8B | 4.5 GB |