text model · North · iOS

Can I run North Mini Code 1.0 on iPhone 16 Pro?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. North Mini Code 1.0 needs ~21.1 GB even at Q4_K_M, but iPhone 16 Pro only has ~4.5 GB usable.

Needs ~21.1 GB Device usable ~4.5 GB

Needs ~21.1 GB even at Q4_K_M, but only ~4.5 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 16.6 GB: North Mini Code 1.0 needs roughly 21.1 GB at Q4_K_M and iPhone 16 Pro leaves only about 4.5 GB usable for a model. The lightest tracked hardware that runs North Mini Code 1.0 is the Nvidia GeForce RTX 4090 (24GB) at 24 GB. See North Mini Code 1.0 on Nvidia GeForce RTX 4090 (24GB).

Q4_K_M needed: ~21.1 GB
Usable on device: ~4.5 GB
Device memory: 8 GB

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Which quant fits

Quant ladder vs ~4.5 GB usable

Q2_K

~14.9 GB

Q3_K_M

~17 GB

Q4_K_M

~21.1 GB

Q5_K_M

~23.8 GB

Q6_K

~27.1 GB

Q8_0

~34.1 GB

FP16

~63.1 GB

The line marks iPhone 16 Pro's ~4.5 GB budget; rungs past it are too large.

How to run it

On iOS use Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.).

Model North

Parameters: 30.5B (MoE, 3B active)
Q4_K_M size: 19 GB
Q8_0 size: 32 GB
Context: 500k
Ollama tag: north-mini-code-1.0

Full North Mini Code 1.0 requirements →

Device iOS

Memory: 8 GB unified
Usable for weights: ~4.5 GB
Power draw: ~12 W
Best runtime: llama.cpp + Metal (via PocketPal or Off Grid app)

Best models for iPhone 16 Pro →

What you can run instead

Run North Mini Code 1.0 on other hardware

Nvidia GeForce RTX 4090 (24GB)Nvidia GeForce RTX 3090 (24GB)AMD Radeon RX 7900 XTX (24GB)Nvidia GeForce RTX 5090 (32GB)32GB RAM Laptop (CPU/iGPU only)Apple M4 Pro (48GB)

FAQ

Can iPhone 16 Pro run North Mini Code 1.0?

No. North Mini Code 1.0 needs ~21.1 GB even at Q4_K_M, but iPhone 16 Pro only has ~4.5 GB usable.

How much memory does North Mini Code 1.0 need?

iPhone 16 Pro does not have enough memory. At Q4_K_M the weights are ~19 GB; with KV cache and runtime overhead, budget ~21.1 GB at a 4k context. It is a Mixture-of-Experts model (30.5B total / 3B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run North Mini Code 1.0 on iOS?

On iPhone and iPad, Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.) is the standard choice. Phones realistically run 1B-4B class models. Anything larger thermally throttles or OOMs.

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Markdown

[![North Mini Code 1.0 on iPhone 16 Pro](https://localmodel.run/badge/north-mini-code-1.0/iphone-16-pro.svg)](https://localmodel.run/can-i-run/north-mini-code-1.0/iphone-16-pro)

Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.