Greetings from the Gemma team! We just got Gemma 3 out of the oven and are super excited to show it to you! Please drop any questions here and we'll answer ASAP. (Opinions our own and not of Google DeepMind.) PS we are hiring: https://boards.greenhouse.io/deepmind/jobs/6590957
- Gemma3 12B: ~100 t/s on prompt eval; 15 t/s on eval
- MistralSmall3 24B: ~500 t/s on prompt eval; 10 t/s on eval
Do you know what different in architecture could make the prompt eval (prefill) so much slower on the 2x smaller Gemma3 model?