Can Nemotron 3 Nano 4B run on Redmi Note 15 Pro+ 5G?
YES — Runs, barely
Grade A · 71/100 · formula estimate
What this means
Our estimate says Nemotron 3 Nano 4B should fit, but replies are likely to arrive slowly.
Download the Q4_K_M version, which is about 2.8 GB. We expect it to use about 3.8 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 2 minutes to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
4.1tokens/s
estimated · reading pace
3.8GB
needed at Q4_K_M
Q4_K_M
quant checked
A
grade · 71/100
needs 3.8 GBusable 9 GB
Snapdragon 7s Gen 412 GB RAMCPU / GPU
Make it bearable
1
Drop context to 2K — saves ~0.2 GB of KV cache and a little speed.
2
Close every other app before loading — the 5.2 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 4.1 tokens/s — reading pace. A ~300-word reply takes about 98 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q4_K_M GGUF (2.8 GB) + mmap overhead | 2.9 |
| KV cache | 4K context window | 0.3 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at Q4_K_M, 4K context | 3.8 |
| Usable on Redmi Note 15 Pro+ 5G | 12 GB RAM − Android system reserve | 9 |
| Headroom | left for the OS and your other apps | 5.2 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| Q4_K_M BEST HERE | 2.8 GB | ! Runs, barely | ~4.1 tokens/s |
Get it running in 3 steps
1
Install PocketPal from the Play Store — free, no account needed.
2
Download "Nemotron 3 Nano 4B Q4_K_M" in the in-app model hub — 2.8 GB, use Wi-Fi. Search Hugging Face for
nvidia/NVIDIA-Nemotron-3-Nano-4B-GGUF and pick the Q4_K_M file.3
Set context to 4K — expect ~4.1 tokens/s on this phone.
Related checks
MORE ON REDMI NOTE 15 PRO+ 5G
NEMOTRON 3 NANO 4B ON OTHER PHONES