Can BigBang V1 36B-A3B run on ROG Phone 9 Pro?
YES — Runs great
Formula estimate
What this means
Our estimate says BigBang V1 36B-A3B should fit comfortably on your ROG Phone 9 Pro.
Download the Q2_K version, which is about 13.1 GB. We expect it to use about 16.9 GB of the roughly 20 GB available to a model on this phone.
At the estimated speed, a roughly 300-word answer may take about 13 seconds to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
31.7tokens/s
estimated · instant
16.9GB
needed at Q2_K
Q2_K
quant checked
needs 16.9 GBusable 20 GB
Snapdragon 8 Elite24 GB RAMCPU / GPUAlso sold with 16 GB
See how fast it feels
Estimated at 31.7 tokens/s — instant. A ~300-word reply takes about 13 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q2_K GGUF (13.1 GB) + mmap overhead | 13.8 |
| KV cache | 4K context window | 2.5 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at Q2_K, 4K context | 16.9 |
| Working budget | 24 GB RAM − Android system reserve | 20 |
| Headroom | remaining inside the working budget | 3.1 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| Q2_K BEST HERE | 13.1 GB | ✓ Runs great | ~31.7 tokens/s |
| Q3_K_M | 16.7 GB | ✕ Won't fit | won't fit |
| IQ4_XS | 19.3 GB | ✕ Won't fit | won't fit |
| Q4_0 | 20.4 GB | ✕ Won't fit | won't fit |
| Q4_K_S | 21.1 GB | ✕ Won't fit | won't fit |
| Q4_K_M | 21.9 GB | ✕ Won't fit | won't fit |
| Q5_K_M | 25.5 GB | ✕ Won't fit | won't fit |
| Q6_K | 30.5 GB | ✕ Won't fit | won't fit |
| Q8_0 | 37.8 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/endless-frontier_BigBang-v1-GGUF.3
Choose the Q2_K GGUF file. The download is about 13.1 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 31.7 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/endless-frontier_BigBang-v1-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 Q2_K GGUF file is loaded in the chat rather than a remote model.
Related checks
More on ROG Phone 9 Pro
BigBang V1 36B-A3B on other phones