Can Mistral 7B v0.3 run on iPhone 14?
YES — Runs great
Formula estimate
What this means
Our estimate says Mistral 7B v0.3 should fit comfortably on your iPhone 14.
Download the IQ1_S version, which is about 1.6 GB. We expect it to use about 2.8 GB of the roughly 3.9 GB available to a model on this phone.
At the estimated speed, a roughly 300-word answer may take about 42 seconds to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
9.6tokens/s
estimated · faster than you read
2.8GB
needed at IQ1_S
IQ1_S
quant checked
needs 2.8 GBusable 3.9 GB
Apple A15 Bionic6 GB RAMMetal
See how fast it feels
Estimated at 9.6 tokens/s — faster than you read. A ~300-word reply takes about 42 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | IQ1_S GGUF (1.6 GB) + mmap overhead | 1.7 |
| KV cache | 4K context window | 0.5 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at IQ1_S, 4K context | 2.8 |
| Working budget | 6 GB RAM − iOS reserve (jetsam limit) | 3.9 |
| Headroom | remaining inside the working budget | 1.1 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| IQ1_S BEST HERE | 1.6 GB | ✓ Runs great | ~9.6 tokens/s |
| Q2_K | 2.7 GB | ✕ Won't fit | won't fit |
| Q3_K_M | 3.5 GB | ✕ Won't fit | won't fit |
| IQ4_XS | 3.9 GB | ✕ Won't fit | won't fit |
| Q4_K_S | 4.1 GB | ✕ Won't fit | won't fit |
| Q4_K_M | 4.4 GB | ✕ Won't fit | won't fit |
| Q5_K_M | 5.1 GB | ✕ Won't fit | won't fit |
| Q6_K | 5.9 GB | ✕ Won't fit | won't fit |
| Q8_0 | 7.7 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/Mistral-7B-Instruct-v0.3-GGUF.3
Choose the IQ1_S GGUF file. The download is about 1.6 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 9.6 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/Mistral-7B-Instruct-v0.3-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 IQ1_S GGUF file is loaded in the chat rather than a remote model.
Related checks
More on iPhone 14
Mistral 7B v0.3 on other phones