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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
  • 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
  • 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
  1. If you are new, use LM Studio.
  2. If you are memory constrained, start with E2B.
  3. If you want a local service endpoint, test Ollama.
  4. If the model fails to fit, open Out of Memory.