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text model · North · iOS

Can I run North Mini Code 1.0 on iPad Pro M4 (16GB, 1TB/2TB config)?

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 iPad Pro M4 (16GB, 1TB/2TB config) only has ~12 GB usable.

Needs ~21.1 GB Device usable ~12 GB

Needs ~21.1 GB even at Q4_K_M, but only ~12 GB is usable.

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

The gap is about 9.1 GB: North Mini Code 1.0 needs roughly 21.1 GB at Q4_K_M and iPad Pro M4 (16GB, 1TB/2TB config) leaves only about 12 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
~12 GB
Device memory
16 GB
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Which quant fits

Quant ladder vs ~12 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 iPad Pro M4 (16GB, 1TB/2TB config)'s ~12 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
16 GB unified
Usable for weights
~12 GB
Power draw
~14 W
Best runtime
MLX (via Python or Swift; mlx-lm package)
Best models for iPad Pro M4 (16GB, 1TB/2TB config) →

What you can run instead

Run North Mini Code 1.0 on other hardware

FAQ

Can iPad Pro M4 (16GB, 1TB/2TB config) run North Mini Code 1.0?

No. North Mini Code 1.0 needs ~21.1 GB even at Q4_K_M, but iPad Pro M4 (16GB, 1TB/2TB config) only has ~12 GB usable.

How much memory does North Mini Code 1.0 need?

iPad Pro M4 (16GB, 1TB/2TB config) 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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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.