Can SmolLM2 1.7B run on Moto G Power (2025)?

YESRuns, barely
Grade A · 79/100 · formula estimate

What this means

The checked Q4_K_M version should run, but replies are likely to arrive slowly. The smaller IQ4_XS version is the safer choice.

Download the IQ4_XS version, which is about 0.9 GB. We expect it to use about 1.7 GB of the roughly 6 GB available to a model on this phone.

At the estimated speed, a roughly 300-word answer may take about 47 seconds to finish.

This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.

7tokens/s
estimated · reading pace
1.9GB
needed at Q4_K_M
Q4_K_M
quant checked
A
grade · 79/100
needs 1.9 GBusable 6 GB
Dimensity 63008 GB RAMCPU / GPU

Make it bearable

1
Drop to IQ4_XS (0.9 GB) — it runs comfortably here at ~8.6 tokens/s. Recommended over Q4_K_M.
2
Drop context to 2K — saves ~0.1 GB of KV cache and a little speed.
3
Close every other app before loading — the 4.1 GB headroom is real; Android may kill the app otherwise.
4
Expect throttling after ~10 min of sustained generation on a phone chassis.

See how fast it feels

Estimated at 7 tokens/s — reading pace. A ~300-word reply takes about 57 seconds on this phone.

Live demo · 7 tokens/s

Where the memory goes

ComponentDetailGB
Model weightsQ4_K_M GGUF (1.1 GB) + mmap overhead1.2
KV cache4K context window0.1
Runtimellama.cpp + app overhead0.6
Total neededat Q4_K_M, 4K context1.9
Usable on Moto G Power (2025)8 GB RAM − Android system reserve6
Headroomleft for the OS and your other apps4.1

Pick your quant

QuantDownloadVerdictSpeed
Q2_K 0.7 GB Runs great~11 tokens/s
IQ4_XS BEST HERE0.9 GB Runs great~8.6 tokens/s
Q3_K_M 0.9 GB Runs great~8.6 tokens/s
Q4_0 1 GB! Runs, barely~7.7 tokens/s
Q4_K_S 1 GB! Runs, barely~7.7 tokens/s
Q4_K_M 1.1 GB! Runs, barely~7 tokens/s
Q5_K_M 1.2 GB! Runs, barely~6.4 tokens/s
Q6_K 1.4 GB! Runs, barely~5.5 tokens/s
Q8_0 1.8 GB! Runs, barely~4.3 tokens/s

Get it running in 3 steps

1
Install PocketPal from the Play Store — free, no account needed.
2
Download "SmolLM2 1.7B IQ4_XS" in the in-app model hub — 0.9 GB, use Wi-Fi. Search Hugging Face for bartowski/SmolLM2-1.7B-Instruct-GGUF and pick the IQ4_XS file.
3
Set context to 4K — expect ~8.6 tokens/s on this phone.

Related checks

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