text model · mistral · Android
Can I run Mistral Nemo 12B on Google Pixel 10 Pro?
Yes. Mistral Nemo 12B runs on Google Pixel 10 Pro at Q4_K_M (~8.6 GB of ~10.5 GB usable).
Runs at Q4_K_M using ~8.6 GB of ~10.5 GB usable.
- Q4_K_M needed
- ~8.6 GB
- Usable on device
- ~10.5 GB
- Device memory
- 16 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
- 12.2B
- Q4_K_M size
- 6.96 GB
- Q8_0 size
- 12.13 GB
- Context
- 128k
- Ollama tag
- mistral-nemo:12b
- Memory
- 16 GB ram
- Usable for weights
- ~10.5 GB
- Best runtime
- llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
You could also run
Run Mistral Nemo 12B on other hardware
FAQ
Can Google Pixel 10 Pro run Mistral Nemo 12B?
Yes. Mistral Nemo 12B runs on Google Pixel 10 Pro at Q4_K_M (~8.6 GB of ~10.5 GB usable).
How much memory does Mistral Nemo 12B need?
Google Pixel 10 Pro has room to spare. At Q4_K_M the weights are ~6.96 GB; with KV cache and runtime overhead, budget ~8.6 GB at a 4k context.
What is the best tool to run Mistral Nemo 12B 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.