text model · mistral · Android
Can I run Mistral 7B on Google Pixel 9 Pro?
Yes. Mistral 7B runs on Google Pixel 9 Pro at Q4_K_M (~5.8 GB of ~10.5 GB usable).
Runs at Q4_K_M using ~5.8 GB of ~10.5 GB usable. You have room for Q8_0 for higher quality.
- Q4_K_M needed
- ~5.8 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
- 7B
- Q4_K_M size
- 4.37 GB
- Q8_0 size
- 7.7 GB
- Context
- 32k
- Ollama tag
- mistral:7b
- 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 7B on other hardware
FAQ
Can Google Pixel 9 Pro run Mistral 7B?
Yes. Mistral 7B runs on Google Pixel 9 Pro at Q4_K_M (~5.8 GB of ~10.5 GB usable).
How much memory does Mistral 7B need?
Google Pixel 9 Pro has room to spare. At Q4_K_M the weights are ~4.37 GB; with KV cache and runtime overhead, budget ~5.8 GB at a 4k context.
What is the best tool to run Mistral 7B 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.