Gemma 4 26B A4B is a 25.81B-parameter mixture-of-experts model (3.8B active per token). At Q4_K_M it needs about 17.7 GB of memory. The A100 80GB (cloud) has 74 GB usable, so it fits entirely in memory. Expect about 329 tokens/sec (120–539), with the first token after 0.3 s for a short prompt. This estimate is interpolated from benchmarks of similar setups.
| Quantization | File size | Memory | Generation | First token | Source |
|---|---|---|---|---|---|
| Q4_K_M | 16.9 GB | Fits | 329 tok/s | 0.3 s | Derived |
| Q8_0 | 26.9 GB | Fits | 208 tok/s | 0.3 s | Derived |
| FP16 | 50.5 GB | Fits | 111 tok/s | 0.3 s | Derived |
All models on the A100 80GB (cloud) · Gemma 4 26B A4B on all hardware
Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.