text model · North · macOS

Can I run North Mini Code 1.0 on Apple M4 Pro (24GB)?

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 Apple M4 Pro (24GB) only has ~16 GB usable.

Needs ~21.1 GB Device usable ~16 GB

Needs ~21.1 GB even at Q4_K_M, but only ~16 GB is usable.

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

The gap is about 5.1 GB: North Mini Code 1.0 needs roughly 21.1 GB at Q4_K_M and Apple M4 Pro (24GB) leaves only about 16 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: ~16 GB
Device memory: 24 GB

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Which quant fits

Quant ladder vs ~16 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 Apple M4 Pro (24GB)'s ~16 GB budget; rungs past it are too large.

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 macOS

Memory: 24 GB unified
Usable for weights: ~16 GB
Power draw: ~140 W
Best runtime: Ollama (MLX backend, preview) / MLX direct

Best models for Apple M4 Pro (24GB) →

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 Apple M4 Pro (24GB) run North Mini Code 1.0?

No. North Mini Code 1.0 needs ~21.1 GB even at Q4_K_M, but Apple M4 Pro (24GB) only has ~16 GB usable.

How much memory does North Mini Code 1.0 need?

Apple M4 Pro (24GB) 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 macOS?

LM Studio for a simple setup; mlx-lm for the most speed. vLLM is NOT a Mac tool, it is a CUDA/Linux serving engine. Unified memory is not a fixed VRAM slice; ~70% is usable for weights.

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Markdown

[![North Mini Code 1.0 on Apple M4 Pro (24GB)](https://localmodel.run/badge/north-mini-code-1.0/apple-m4-pro-24gb.svg)](https://localmodel.run/can-i-run/north-mini-code-1.0/apple-m4-pro-24gb)

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.