Can Ling 3.0 Tiny run on iPhone 17e?
YES — Runs, barely
Formula estimate
What this means
The checked Q3_K_M version should run, but there is very little memory left for the operating system and other apps. The smaller Q2_K version is the safer choice.
Download the Q2_K version, which is about 3 GB. We expect it to use about 4.3 GB of the roughly 5.2 GB available to a model on this phone.
At the estimated speed, a roughly 300-word answer may take about 7 seconds to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
45.6tokens/s
estimated · instant
5.1GB
needed at Q3_K_M
Q3_K_M
quant checked
needs 5.1 GBusable 5.2 GB
Apple A198 GB RAMMetal
Make it bearable
1
Drop to Q2_K (3 GB) — it runs comfortably here at ~57.7 tokens/s. Recommended over Q3_K_M.
2
Drop context to 2K — saves ~0.3 GB of KV cache and a little speed.
3
Close every other app before loading — the 0.1 GB headroom is real; iOS may evict the model otherwise.
4
Expect throttling after ~10 min of sustained generation on a phone chassis.
See how fast it feels
Estimated at 45.6 tokens/s — instant. A ~300-word reply takes about 9 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q3_K_M GGUF (3.8 GB) + mmap overhead | 4 |
| KV cache | 4K context window | 0.6 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at Q3_K_M, 4K context | 5.1 |
| Working budget | 8 GB RAM − iOS reserve (jetsam limit) | 5.2 |
| Headroom | remaining inside the working budget | 0.1 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| Q2_K BEST HERE | 3 GB | ✓ Runs great | ~57.7 tokens/s |
| Q3_K_M | 3.8 GB | ! Runs, barely | ~45.6 tokens/s |
| IQ4_XS | 4.4 GB | ✕ Won't fit | won't fit |
| Q4_0 | 4.6 GB | ✕ Won't fit | won't fit |
| Q4_K_S | 4.8 GB | ✕ Won't fit | won't fit |
| Q4_K_M | 4.9 GB | ✕ Won't fit | won't fit |
| Q5_K_M | 5.7 GB | ✕ Won't fit | won't fit |
| Q6_K | 6.8 GB | ✕ Won't fit | won't fit |
| Q8_0 | 8.4 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 the App Store. 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/Ling-3.0-tiny-GGUF.3
Choose the Q2_K GGUF file. The download is about 3 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 PocketPal’s default Metal acceleration; this does not require Xcode.
5
Send a simple first prompt. Try “Explain why the sky is blue in three sentences.” This page estimates about 57.7 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/Ling-3.0-tiny-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 iPhone 17e
Ling 3.0 Tiny on other phones