Gemma 4 on Windows
First question: what hardware class is this?
Section titled “First question: what hardware class is this?”On Windows, the biggest split is between:
- RTX desktop or laptop with meaningful VRAM
- CPU-only or low-VRAM machine
Best runtime choices
Section titled “Best runtime choices”- LM Studio: easiest entry point
- llama.cpp: best if you want direct control
- Ollama: useful if your goal is a local API, not the easiest first-time route
Recommended model choices
Section titled “Recommended model choices”- E2B / E4B: safest for broad compatibility
- 26B A4B: realistic only once memory and runtime are clearly under control
- 31B: only for genuinely strong local setups
Fastest decision tree
Section titled “Fastest decision tree”- If you are new, use LM Studio.
- If you are memory constrained, start with E2B.
- If you want a local service endpoint, test Ollama.
- If the model fails to fit, open Out of Memory.