text model · gemma · Android
Can I run Gemma 2 9B on Generic Android Phone (12GB RAM)?
Yes. Gemma 2 9B runs on Generic Android Phone (12GB RAM) at Q4_K_M (~7.3 GB of ~8.5 GB usable).
Runs at Q4_K_M using ~7.3 GB of ~8.5 GB usable.
- Q4_K_M needed
- ~7.3 GB
- Usable on device
- ~8.5 GB
- Device memory
- 12 GB
- Best quant
- Q4_K_M
How to run it
On Android use PocketPal AI (Polished app, download GGUF and run offline.). NPU acceleration is limited and chip-specific; most apps run on CPU. Expect 1B-4B class.
- Parameters
- 9B
- Q4_K_M size
- 5.76 GB
- Q8_0 size
- 9.83 GB
- Context
- 8k
- Ollama tag
- gemma2:9b
- Memory
- 12 GB ram
- Usable for weights
- ~8.5 GB
- Best runtime
- llama.cpp (PocketPal) or MLC-LLM
You could also run
Run Gemma 2 9B on other hardware
FAQ
Can Generic Android Phone (12GB RAM) run Gemma 2 9B?
Yes. Gemma 2 9B runs on Generic Android Phone (12GB RAM) at Q4_K_M (~7.3 GB of ~8.5 GB usable).
How much memory does Gemma 2 9B need?
Generic Android Phone (12GB RAM) has room to spare. At Q4_K_M the weights are ~5.76 GB; with KV cache and runtime overhead, budget ~7.3 GB at a 4k context.
What is the best tool to run Gemma 2 9B on Android?
On Android, PocketPal AI (Polished app, download GGUF and run offline.) is the go-to option. NPU acceleration is limited and chip-specific; most apps run on CPU. Expect 1B-4B class.
Sources
Memory figures are estimates. See methodology.