Can Phi-4 14B run on Redmi Note 14 Pro 5G?
YES — Runs, barely
Grade B · 62/100 · 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 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.
2.1tokens/s
estimated · slower than you read
7.4GB
needed at Q2_K
Q2_K
quant checked
B
grade · 62/100
needs 7.4 GBusable 9 GB
Dimensity 730012 GB RAMCPU / GPUalso sold with 8 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 1.6 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 2.1 tokens/s — slower than you read. A ~300-word reply takes about 190 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 Redmi Note 14 Pro 5G | 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 | ~2.1 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 ~2.1 tokens/s on this phone.
Related checks
MORE ON REDMI NOTE 14 PRO 5G
PHI-4 14B ON OTHER PHONES