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text model · SmolLM2 · Android

Can I run SmolLM2 360M on Google Pixel 9 Pro?

Compatibility verdict VRAM threshold engine
Yes, it runs usable speed ~126 tok/s est.

Yes. SmolLM2 360M runs on Google Pixel 9 Pro at Q4_K_M (~1.2 GB of ~10.5 GB usable).

Needs ~1.2 GB Device usable ~10.5 GB

Runs at Q4_K_M using ~1.2 GB of ~10.5 GB usable. You have room for FP16 for higher quality.

That figure is at a 4k context and moves about ±15% as context length changes. Google Pixel 9 Pro leaves ~9.3 GB of headroom, room to step up to FP16 for higher quality.

Q4_K_M needed
~1.2 GB
Usable on device
~10.5 GB
Device memory
16 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~10.5 GB usable
Q2_K
~1.1 GB
Q3_K_M
~1.1 GB
Q4_K_M
~1.2 GB
Q5_K_M
~1.2 GB
Q6_K
~1.2 GB
Q8_0
~1.3 GB
FP16
~1.6 GB
The line marks Google Pixel 9 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 SmolLM2
Parameters
0.362B
Q4_K_M size
0.271 GB
Q8_0 size
0.386 GB
Context
2k
Ollama tag
smollm2:360m
Full SmolLM2 360M requirements →
Device Android
Memory
16 GB ram
Usable for weights
~10.5 GB
Best runtime
llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
Best models for Google Pixel 9 Pro →

You could also run

Run SmolLM2 360M on other hardware

FAQ

Can Google Pixel 9 Pro run SmolLM2 360M?

Yes. SmolLM2 360M runs on Google Pixel 9 Pro at Q4_K_M (~1.2 GB of ~10.5 GB usable).

How much memory does SmolLM2 360M need?

Google Pixel 9 Pro has room to spare. At Q4_K_M the weights are ~0.271 GB; with KV cache and runtime overhead, budget ~1.2 GB at a 4k context.

What is the best tool to run SmolLM2 360M 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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SmolLM2 360M on Google Pixel 9 Pro compatibility badge A live badge for your model card or README, updated as the data is.
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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.