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 NVIDIA RTX 4070 Ti Super 16GB has 15 GB usable, so it only fits with part of the model offloaded to system RAM, which slows it down. Expect about 70 tokens/sec (27–113), with the first token after 1.2 s for a short prompt. This estimate is projected from the hardware specs; no benchmarks exist yet.
| Quantization | File size | Memory | Generation | First token | Source |
|---|---|---|---|---|---|
| Q4_K_M | 16.9 GB | Partial offload | 70 tok/s | 1.2 s | Projected |
| Q8_0 | 26.9 GB | Partial offload | 27 tok/s | 1.2 s | Projected |
| FP16 | 50.5 GB | Doesn't fit | Won't run | — | — |
All models on the NVIDIA RTX 4070 Ti Super 16GB · 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.