Can Gemma 3 4B run on Redmi Note 15 Pro 5G?

YESRuns, barely
Grade A · 72/100 · formula estimate

What this means

The checked Q4_K_M version should run, but replies are likely to arrive slowly. The smaller IQ1_S version is the safer choice.

Download the IQ1_S version, which is about 1.2 GB. We expect it to use about 2.2 GB of the roughly 9 GB available to a model on this phone.

At the estimated speed, a roughly 300-word answer may take about 42 seconds to finish.

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

4.6tokens/s
estimated · reading pace
3.5GB
needed at Q4_K_M
Q4_K_M
quant checked
A
grade · 72/100
needs 3.5 GBusable 9 GB
Dimensity 7400 Ultra12 GB RAMCPU / GPUalso sold with 8 GB

Make it bearable

1
Drop to IQ1_S (1.2 GB) — it runs comfortably here at ~9.6 tokens/s. Recommended over Q4_K_M.
2
Drop context to 2K — saves ~0.2 GB of KV cache and a little speed.
3
Close every other app before loading — the 5.5 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 4.6 tokens/s — reading pace. A ~300-word reply takes about 87 seconds on this phone.

Live demo · 4.6 tokens/s

Where the memory goes

ComponentDetailGB
Model weightsQ4_K_M GGUF (2.5 GB) + mmap overhead2.6
KV cache4K context window0.3
Runtimellama.cpp + app overhead0.6
Total neededat Q4_K_M, 4K context3.5
Usable on Redmi Note 15 Pro 5G12 GB RAM − Android system reserve9
Headroomleft for the OS and your other apps5.5

Pick your quant

QuantDownloadVerdictSpeed
IQ1_S BEST HERE1.2 GB Runs great~9.6 tokens/s
Q2_K 1.7 GB! Runs, barely~6.8 tokens/s
Q3_K_M 2.1 GB! Runs, barely~5.5 tokens/s
IQ4_XS 2.3 GB! Runs, barely~5 tokens/s
Q4_0 2.4 GB! Runs, barely~4.8 tokens/s
Q4_K_S 2.4 GB! Runs, barely~4.8 tokens/s
Q4_K_M 2.5 GB! Runs, barely~4.6 tokens/s
Q5_K_M 2.8 GB! Runs, barely~4.1 tokens/s
Q6_K 3.2 GB! Runs, barely~3.6 tokens/s
Q8_0 4.1 GB! Runs, barely~2.8 tokens/s

Get it running in 3 steps

1
Install PocketPal from the Play Store — free, no account needed.
2
Download "Gemma 3 4B IQ1_S" in the in-app model hub — 1.2 GB, use Wi-Fi. Search Hugging Face for unsloth/gemma-3-4b-it-GGUF and pick the IQ1_S file.
3
Set context to 4K — expect ~9.6 tokens/s on this phone.

Related checks

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