Can Tini Cybersec 8B-A1B run on Redmi Note 14 Pro+ 5G?
YES — Runs great
Grade S · 100/100 · formula estimate
What this means
Our estimate says Tini Cybersec 8B-A1B should fit comfortably on your Redmi Note 14 Pro+ 5G.
Download the Q4_K_M version, which is about 5.2 GB. We expect it to use about 6.7 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 21 seconds to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
18.8tokens/s
estimated · instant
6.7GB
needed at Q4_K_M
Q4_K_M
quant checked
S
grade · 100/100
needs 6.7 GBusable 9 GB
Snapdragon 7s Gen 312 GB RAMCPU / GPUAlso sold with 8 GB
See how fast it feels
Estimated at 18.8 tokens/s — instant. A ~300-word reply takes about 21 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q4_K_M GGUF (5.2 GB) + mmap overhead | 5.5 |
| KV cache | 4K context window | 0.6 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at Q4_K_M, 4K context | 6.7 |
| Usable on Redmi Note 14 Pro+ 5G | 12 GB RAM − Android system reserve | 9 |
| Headroom | left for the OS and your other apps | 2.3 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| Q2_K | 3.1 GB | ✓ Runs great | ~31.6 tokens/s |
| Q3_K_M | 3.9 GB | ✓ Runs great | ~25.1 tokens/s |
| IQ4_XS | 4.6 GB | ✓ Runs great | ~21.3 tokens/s |
| Q4_0 | 4.9 GB | ✓ Runs great | ~20 tokens/s |
| Q4_K_S | 5 GB | ✓ Runs great | ~19.6 tokens/s |
| Q4_K_M BEST HERE | 5.2 GB | ✓ Runs great | ~18.8 tokens/s |
| Q5_K_M | 6 GB | ✓ Runs great | ~16.3 tokens/s |
| Q6_K | 7.3 GB | ! Runs, barely | ~13.4 tokens/s |
| Q8_0 | 9 GB | ✕ Won't fit | won't fit |
Get it running in 3 steps
1
Install PocketPal from Google Play — free, no account needed.
2
Download "Tini Cybersec 8B-A1B Q4_K_M" in the in-app model hub — 5.2 GB, use Wi-Fi. Search Hugging Face for
bartowski/iselabvn_Tini-Cybersec-8B-A1B-GGUF and pick the Q4_K_M file.3
Set context to 4K — expect ~18.8 tokens/s on this phone.
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