Can Gemma 3 12B run on Galaxy A17 5G?

YESRuns, barely
Grade B · 60/100 · formula estimate

What this means

Our estimate says Gemma 3 12B should fit, but replies are likely to arrive slowly.

Download the IQ1_S version, which is about 3.1 GB. We expect it to use about 4.7 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 3 minutes to finish.

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

2.5tokens/s
estimated · slower than you read
4.7GB
needed at IQ1_S
IQ1_S
quant checked
B
grade · 60/100
needs 4.7 GBusable 6 GB
Exynos 13308 GB RAMCPU / GPUalso sold with 4/6 GB

Make it bearable

1
Drop context to 2K — saves ~0.5 GB of KV cache and a little speed.
2
Close every other app before loading — the 1.3 GB headroom is real; Android may kill the app otherwise.
3
Expect throttling after ~10 min of sustained generation on a phone chassis.

See how fast it feels

Estimated at 2.5 tokens/s — slower than you read. A ~300-word reply takes about 160 seconds on this phone.

Live demo · 2.5 tokens/s

Where the memory goes

ComponentDetailGB
Model weightsIQ1_S GGUF (3.1 GB) + mmap overhead3.3
KV cache4K context window0.9
Runtimellama.cpp + app overhead0.6
Total neededat IQ1_S, 4K context4.7
Usable on Galaxy A17 5G8 GB RAM − Android system reserve6
Headroomleft for the OS and your other apps1.3

Pick your quant

QuantDownloadVerdictSpeed
IQ1_S BEST HERE3.1 GB! Runs, barely~2.5 tokens/s
Q2_K 4.8 GB Won't fitwon't fit
Q3_K_M 6 GB Won't fitwon't fit
IQ4_XS 6.6 GB Won't fitwon't fit
Q4_0 6.9 GB Won't fitwon't fit
Q4_K_S 6.9 GB Won't fitwon't fit
Q4_K_M 7.3 GB Won't fitwon't fit
Q5_K_M 8.4 GB Won't fitwon't fit
Q6_K 9.7 GB Won't fitwon't fit
Q8_0 12.5 GB Won't fitwon't fit

Get it running in 3 steps

1
Install PocketPal from the Play Store — free, no account needed.
2
Download "Gemma 3 12B IQ1_S" in the in-app model hub — 3.1 GB, use Wi-Fi. Search Hugging Face for unsloth/gemma-3-12b-it-GGUF and pick the IQ1_S file.
3
Set context to 4K — expect ~2.5 tokens/s on this phone.

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