# Can I run TinyLlama 1.1B on Google Pixel 9 Pro?

> **Yes, it runs.** Runs at Q4_K_M using ~1.8 GB of ~10.5 GB usable. You have room for FP16 for higher quality.

Last validated: 2026-06-15.

## Memory math
- TinyLlama 1.1B: 1.1B; Q4_K_M weighs 0.669 GB on disk.
- At Q4_K_M with a 4k context it needs ~1.8 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Google Pixel 9 Pro: 16 GB ram, ~10.5 GB usable for model weights.
- Headroom: ~8.7 GB; it also fits FP16 for higher quality.

## How to run
Recommended quant: Q4_K_M. Best tool on Android: PocketPal AI.

## Run TinyLlama 1.1B on other devices
- [Apple M1 (8GB)](https://localmodel.run/can-i-run/tinyllama-1.1b/apple-m1-8gb)
- [8GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/can-i-run/tinyllama-1.1b/laptop-8gb)
- [iPhone 15 Pro](https://localmodel.run/can-i-run/tinyllama-1.1b/iphone-15-pro)
- [iPhone 16](https://localmodel.run/can-i-run/tinyllama-1.1b/iphone-16)
- [iPhone 16 Pro](https://localmodel.run/can-i-run/tinyllama-1.1b/iphone-16-pro)
- [Generic Android Phone (8GB RAM)](https://localmodel.run/can-i-run/tinyllama-1.1b/android-generic-8gb)

## Other models that run on Google Pixel 9 Pro
- [Qwen2.5 Coder 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-coder-14b/pixel-9-pro)
- [Mistral Nemo 12B (12.2B)](https://localmodel.run/can-i-run/mistral-nemo-12b/pixel-9-pro)
- [Gemma 3 12B (12B)](https://localmodel.run/can-i-run/gemma-3-12b/pixel-9-pro)
- [Llama 3.2 Vision 11B (10.7B)](https://localmodel.run/can-i-run/llama-3.2-vision-11b/pixel-9-pro)
- [Falcon3 10B (10B)](https://localmodel.run/can-i-run/falcon3-10b/pixel-9-pro)
- [Gemma 2 9B (9B)](https://localmodel.run/can-i-run/gemma-2-9b/pixel-9-pro)

Estimate, not a guarantee. Sources: https://ollama.com/library/tinyllama:1.1b, https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF, https://github.com/jzhang38/TinyLlama.
More: https://localmodel.run/can-i-run/tinyllama-1.1b/pixel-9-pro