Run TowerInstruct 7B locally on iPhone, iPad & Mac
Specialist translator across many languages, tone-aware. 8 GB+.
In privateSLM, TowerInstruct 7B is translation between major languages, fully offline. You download the model once, and from then on every conversation runs entirely on your device — no cloud, no account, no tracking, and it keeps working with the radio off.
At a glance
| Model | TowerInstruct 7B |
|---|---|
| Category | Translation |
| In privateSLM | Business Pack — a one-time purchase |
| Download size | 4.08 GB (one time) |
| Quantization | Q4_K_M (GGUF) |
| Minimum device RAM | 8 GB |
| Runs offline | Yes — fully on-device after download |
| Source | Hugging Face |
Will it run on my device?
TowerInstruct 7B needs a device with at least 8 GB of RAM — that means iPhone 16 Pro and later, M-series iPad Pro / Air, and any Apple Silicon Mac. The privateSLM catalog states the RAM requirement for every model up front, so you know before you download.
How to run TowerInstruct 7B in privateSLM
- Get privateSLM on the App Store — free, no account, no subscription.
- Open Models, pick TowerInstruct 7B (part of the Business Pack, a one-time purchase), and tap Download (4.08 GB, once).
- Select it as your active model and chat — airplane mode included.
On iPhones, iPads and Macs with Apple Intelligence, privateSLM can also answer instantly with the built-in system model — zero downloads. A catalog model like TowerInstruct 7B is for when you want this particular specialist, offline, under your control.
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FAQ
Does TowerInstruct 7B run offline on iPhone?
Yes. After a one-time 4.08 GB download inside privateSLM, TowerInstruct 7B runs entirely on-device via llama.cpp. Airplane mode works — nothing is ever sent to a server.
How much RAM does TowerInstruct 7B need?
A device with at least 8 GB of RAM — in practice iPhone 16 Pro and later, M-series iPad Pro / Air, and any Apple Silicon Mac.
Is TowerInstruct 7B free to use in privateSLM?
privateSLM is free to download, and TowerInstruct 7B is part of its Business Pack — a one-time purchase, with no subscription and no per-message fees. The model itself is open-weights (Q4_K_M GGUF).