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text model · North · Android

Can I run North Mini Code 1.0 on Samsung Galaxy S26 Ultra (16GB, 1TB 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 Samsung Galaxy S26 Ultra (16GB, 1TB 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 Samsung Galaxy S26 Ultra (16GB, 1TB 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 Samsung Galaxy S26 Ultra (16GB, 1TB config)'s ~12 GB budget; rungs past it are too large.

How to run it

On Android use PocketPal AI (Polished app, download GGUF and run offline.).

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 Android
Memory
16 GB ram
Usable for weights
~12 GB
Best runtime
llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
Best models for Samsung Galaxy S26 Ultra (16GB, 1TB config) →

What you can run instead

Run North Mini Code 1.0 on other hardware

FAQ

Can Samsung Galaxy S26 Ultra (16GB, 1TB config) run North Mini Code 1.0?

No. North Mini Code 1.0 needs ~21.1 GB even at Q4_K_M, but Samsung Galaxy S26 Ultra (16GB, 1TB config) only has ~12 GB usable.

How much memory does North Mini Code 1.0 need?

Samsung Galaxy S26 Ultra (16GB, 1TB 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 Android?

On Android, PocketPal AI (Polished app, download GGUF and run offline.) is the go-to option. NPU acceleration is limited and chip-specific; most apps run on CPU. Expect 1B-4B class.

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North Mini Code 1.0 on Samsung Galaxy S26 Ultra (16GB, 1TB config) compatibility badge A live badge for your model card or README, updated as the data is.
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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.