Can Phi-4 14B run on Motorola Razr+ (2026)?
YES — Runs, barely
Grade A · 71/100 · formula estimate
What this means
Our estimate says Phi-4 14B should fit, but replies are likely to arrive slowly.
Download the Q2_K version, which is about 5.5 GB. We expect it to use about 7.4 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 73 seconds to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
5.5tokens/s
estimated · reading pace
7.4GB
needed at Q2_K
Q2_K
quant checked
A
grade · 71/100
needs 7.4 GBusable 9 GB
Snapdragon 8s Gen 312 GB RAMCPU / GPU
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 1.6 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 5.5 tokens/s — reading pace. A ~300-word reply takes about 73 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q2_K GGUF (5.5 GB) + mmap overhead | 5.8 |
| KV cache | 4K context window | 1 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at Q2_K, 4K context | 7.4 |
| Usable on Motorola Razr+ (2026) | 12 GB RAM − Android system reserve | 9 |
| Headroom | left for the OS and your other apps | 1.6 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| Q2_K BEST HERE | 5.5 GB | ! Runs, barely | ~5.5 tokens/s |
| Q3_K_M | 7.4 GB | ✕ Won't fit | won't fit |
| IQ4_XS | 7.9 GB | ✕ Won't fit | won't fit |
| Q4_0 | 8.4 GB | ✕ Won't fit | won't fit |
| Q4_K_S | 8.4 GB | ✕ Won't fit | won't fit |
| Q4_K_M | 9.1 GB | ✕ Won't fit | won't fit |
| Q5_K_M | 10.6 GB | ✕ Won't fit | won't fit |
| Q6_K | 12 GB | ✕ Won't fit | won't fit |
| Q8_0 | 15.6 GB | ✕ Won't fit | won't fit |
Get it running in 3 steps
1
Install PocketPal from the Play Store — free, no account needed.
2
Download "Phi-4 14B Q2_K" in the in-app model hub — 5.5 GB, use Wi-Fi. Search Hugging Face for
bartowski/phi-4-GGUF and pick the Q2_K file.3
Set context to 4K — expect ~5.5 tokens/s on this phone.
Related checks
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