Can Gemma 4 26B-A4B run on OnePlus 12?
YES — Runs great
Grade S · 100/100 · formula estimate
What this means
Our estimate says Gemma 4 26B-A4B should fit comfortably on your OnePlus 12.
Download the Q4_0 version, which is about 14.4 GB. We expect it to use about 17.5 GB of the roughly 20 GB available to a model on this phone.
At the estimated speed, a roughly 300-word answer may take about 26 seconds to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
15.6tokens/s
estimated · instant
17.5GB
needed at Q4_0
Q4_0
quant checked
S
grade · 100/100
needs 17.5 GBusable 20 GB
Snapdragon 8 Gen 324 GB RAMCPU / GPUalso sold with 12/16 GB
See how fast it feels
Estimated at 15.6 tokens/s — instant. A ~300-word reply takes about 26 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q4_0 GGUF (14.4 GB) + mmap overhead | 15.1 |
| KV cache | 4K context window | 1.8 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at Q4_0, 4K context | 17.5 |
| Usable on OnePlus 12 | 24 GB RAM − Android system reserve | 20 |
| Headroom | left for the OS and your other apps | 2.5 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| Q4_0 BEST HERE | 14.4 GB | ✓ Runs great | ~15.6 tokens/s |
Get it running in 3 steps
1
Install PocketPal from the Play Store — free, no account needed.
2
Download "Gemma 4 26B-A4B Q4_0" in the in-app model hub — 14.4 GB, use Wi-Fi. Search Hugging Face for
google/gemma-4-26B-A4B-it-qat-q4_0-gguf and pick the Q4_0 file.3
Set context to 4K — expect ~15.6 tokens/s on this phone.
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