text model · Command · Android

Can I run Command A on Google Pixel 10 Pro?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. Command A needs ~70.4 GB even at Q4_K_M, but Google Pixel 10 Pro only has ~10.5 GB usable.

Needs ~70.4 GB Device usable ~10.5 GB

Needs ~70.4 GB even at Q4_K_M, but only ~10.5 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 59.9 GB: Command A needs roughly 70.4 GB at Q4_K_M and Google Pixel 10 Pro leaves only about 10.5 GB usable for a model. The lightest tracked hardware that runs Command A is the Apple M4 Max (128GB) at 128 GB. See Command A on Apple M4 Max (128GB).

Q4_K_M needed: ~70.4 GB
Usable on device: ~10.5 GB
Device memory: 16 GB

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Which quant fits

Quant ladder vs ~10.5 GB usable

Q2_K

~49.8 GB

Q3_K_M

~57.6 GB

Q4_K_M

~70.4 GB

Q5_K_M

~82.4 GB

Q6_K

~94.3 GB

Q8_0

~121.3 GB

FP16

~225.3 GB

The line marks Google Pixel 10 Pro's ~10.5 GB budget; rungs past it are too large.

How to run it

On Android use PocketPal AI (Polished app, download GGUF and run offline.).

Model Command

Parameters: 111B
Q4_K_M size: 67.1 GB
Q8_0 size: 118 GB
Context: 256k
Ollama tag: command-a:111b

Full Command A requirements →

Device Android

Memory: 16 GB ram
Usable for weights: ~10.5 GB
Power draw: ~7 W
Best runtime: llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)

Best models for Google Pixel 10 Pro →

What you can run instead

Run Command A on other hardware

Apple M4 Max (128GB)AMD Ryzen AI Halo (128GB)Apple M5 Max (128GB)Apple M3 Ultra (256GB)

FAQ

Can Google Pixel 10 Pro run Command A?

No. Command A needs ~70.4 GB even at Q4_K_M, but Google Pixel 10 Pro only has ~10.5 GB usable.

How much memory does Command A need?

Google Pixel 10 Pro does not have enough memory. At Q4_K_M the weights are ~67.1 GB; with KV cache and runtime overhead, budget ~70.4 GB at a 4k context.

What is the best tool to run Command A 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.

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A live badge for your model card or README, updated as the data is.

Markdown

[![Command A on Google Pixel 10 Pro](https://localmodel.run/badge/command-a-111b/pixel-10-pro.svg)](https://localmodel.run/can-i-run/command-a-111b/pixel-10-pro)

Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.