gemma-4-12B-it-qat
3recorded runs
130.8best tok/s
1verified
What the gemma-4-12B-it-qat numbers mean
The fastest verified result on our board is 71.2 output tok/s on an RTX 3080 at Q4_0 with a 262144-token context. That is about 14.0 ms per generated token — 500 tokens takes roughly 7.0 seconds. Prompt processing on the same record runs at 2671.1 tok/s, so a 2,000-token prompt is read in about 0.7 seconds. Peak VRAM was measured at 9.7 GB. Across the 3 records we hold for this model the range is 71.2–130.8 tok/s on 3 GPUs, because quantisation, context length and the engine build all move the number.
How much VRAM does gemma-4-12B-it-qat need?
gemma-4-12B-it-qat has 12.0B 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) | 8.6 GB | 12 GB |
| Q8_0 (8-bit) | 15.5 GB | 24 GB |
| FP16 (16-bit) | 28.4 GB | 48 GB |
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| gemma-3-12b-it | 12B | 6.8 GB |
| gemma-4-12B-coder-fable5-composer2.5-v1 | 12B | 6.8 GB |
| gemma-4-12B-it | 12B | 6.8 GB |
| NVIDIA-Nemotron-Nano-12B-v2 | 12B | 6.8 GB |
| GLM-4.6V-Flash | 10B | 5.6 GB |
| InternVL3-14B | 14B | 7.9 GB |