# Can I run Qwen2.5 72B on Google Pixel 10 Pro?

> **No, not enough memory.** Needs ~50.2 GB even at Q4_K_M, but only ~10.5 GB is usable.

Last validated: 2026-06-15.

## Memory math
- Qwen2.5 72B: 72B; Q4_K_M weighs 47.42 GB on disk.
- At Q4_K_M with a 4k context it needs ~50.2 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Google Pixel 10 Pro: 16 GB ram, ~10.5 GB usable for model weights.
- Headroom: ~-39.7 GB.

## How to run
Recommended quant: n/a. Best tool on Android: PocketPal AI.

## Run Qwen2.5 72B on other devices
- [Apple M4 Max (128GB)](https://localmodel.run/can-i-run/qwen2.5-72b/apple-m4-max-128gb)
- [Apple M5 Max (128GB)](https://localmodel.run/can-i-run/qwen2.5-72b/apple-m5-max-128gb)
- [Apple M3 Ultra (256GB)](https://localmodel.run/can-i-run/qwen2.5-72b/apple-m3-ultra-256gb)

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

Estimate, not a guarantee. Sources: https://ollama.com/library/qwen2.5, https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-GGUF, https://qwenlm.github.io/blog/qwen2.5/, https://lmarena.ai/leaderboard.
More: https://localmodel.run/can-i-run/qwen2.5-72b/pixel-10-pro