Can Tini Cybersec 8B-A1B run on Galaxy S26 FE?
Galaxy S26 FE is not officially announced yet — chip and RAM below are consistent leaked specs. This page updates the moment official specs land.
YES — Runs great
Formula estimate
What this means
Our estimate says Tini Cybersec 8B-A1B should fit comfortably on your Galaxy S26 FE.
Download the Q3_K_M version, which is about 3.9 GB. We expect it to use about 5.3 GB of the roughly 6 GB available to a model on this phone.
At the estimated speed, a roughly 300-word answer may take about 5 seconds to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
75.3tokens/s
estimated · instant
5.3GB
needed at Q3_K_M
Q3_K_M
quant checked
needs 5.3 GBusable 6 GB
Exynos 25008 GB RAMCPU / GPU
See how fast it feels
Estimated at 75.3 tokens/s — instant. A ~300-word reply takes about 5 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q3_K_M GGUF (3.9 GB) + mmap overhead | 4.1 |
| KV cache | 4K context window | 0.6 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at Q3_K_M, 4K context | 5.3 |
| Working budget | 8 GB RAM − Android system reserve | 6 |
| Headroom | remaining inside the working budget | 0.7 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| Q2_K | 3.1 GB | ✓ Runs great | ~94.8 tokens/s |
| Q3_K_M BEST HERE | 3.9 GB | ✓ Runs great | ~75.3 tokens/s |
| IQ4_XS | 4.6 GB | ✕ Won't fit | won't fit |
| Q4_0 | 4.9 GB | ✕ Won't fit | won't fit |
| Q4_K_S | 5 GB | ✕ Won't fit | won't fit |
| Q4_K_M | 5.2 GB | ✕ Won't fit | won't fit |
| Q5_K_M | 6 GB | ✕ Won't fit | won't fit |
| Q6_K | 7.3 GB | ✕ Won't fit | won't fit |
| Q8_0 | 9 GB | ✕ Won't fit | won't fit |
Get your first offline chat working
Recommended app: PocketPal. Follow the point-and-click steps below. The speed above is an estimate, not a measurement from this exact app and phone.
1
Install or update PocketPal from Google Play. It is free and does not require an account. Use a current version so its loader supports newer model architectures.
2
Open the exact model. In PocketPal, go to Models → + → Add from Hugging Face, then paste
bartowski/iselabvn_Tini-Cybersec-8B-A1B-GGUF.3
Choose the Q3_K_M GGUF file. The download is about 3.9 GB, so use Wi-Fi and keep the app open. Choose the main GGUF weights, not a vision projector, mmproj, or other helper file.
4
Tap Download, then Load. Start with a 4K (4096-token) context. Keep the app’s default Android backend for the first run.
5
Send a simple first prompt. Try “Explain why the sky is blue in three sentences.” This page estimates about 75.3 tokens/s, but that number is not a PocketPal measurement unless it carries a ✓ Verified label.
6
Confirm it is really offline. After the first reply, turn on airplane mode and ask a second question. If it still answers, the model is running on your phone.
If it does not work
- Model not listed: update PocketPal and paste the exact repository
bartowski/iselabvn_Tini-Cybersec-8B-A1B-GGUF. - App closes while loading: close other apps, restart the phone, and try 2K context. If it still closes, choose a smaller model.
- No offline reply: confirm that the Q3_K_M GGUF file is loaded in the chat rather than a remote model.
Related checks
More on Galaxy S26 FE
Tini Cybersec 8B-A1B on other phones