Can Llama 3.2 1B run on Galaxy Z Fold8 Ultra?
YES — Runs great
Formula estimate
What this means
Our estimate says Llama 3.2 1B should fit comfortably on your Galaxy Z Fold8 Ultra.
Download the Q4_K_M version, which is about 0.8 GB. We expect it to use about 1.5 GB of the roughly 12 GB available to a model on this phone.
At the estimated speed, a roughly 300-word answer may take about 8 seconds to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
47.7tokens/s
estimated · instant
1.5GB
needed at Q4_K_M
Q4_K_M
quant checked
needs 1.5 GBusable 12 GB
Snapdragon 8 Elite Gen 516 GB RAMCPU / GPUAlso sold with 12 GB
See how fast it feels
Estimated at 47.7 tokens/s — instant. A ~300-word reply takes about 8 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q4_K_M GGUF (0.8 GB) + mmap overhead | 0.8 |
| KV cache | 4K context window | 0.1 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at Q4_K_M, 4K context | 1.5 |
| Working budget | 16 GB RAM − Android system reserve | 12 |
| Headroom | remaining inside the working budget | 10.5 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| IQ4_XS | 0.7 GB | ✓ Runs great | ~54.5 tokens/s |
| Q4_0 | 0.8 GB | ✓ Runs great | ~47.7 tokens/s |
| Q4_K_M BEST HERE | 0.8 GB | ✓ Runs great | ~47.7 tokens/s |
| Q4_K_S | 0.8 GB | ✓ Runs great | ~47.7 tokens/s |
| Q5_K_M | 0.9 GB | ✓ Runs great | ~42.4 tokens/s |
| Q6_K | 1 GB | ✓ Runs great | ~38.2 tokens/s |
| Q8_0 | 1.3 GB | ✓ Runs great | ~29.4 tokens/s |
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/Llama-3.2-1B-Instruct-GGUF.3
Choose the Q4_K_M GGUF file. The download is about 0.8 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 47.7 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/Llama-3.2-1B-Instruct-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 Q4_K_M GGUF file is loaded in the chat rather than a remote model.
Related checks
More on Galaxy Z Fold8 Ultra
Llama 3.2 1B on other phones