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text model · North · macOS

Can I run North Mini Code 1.0 on Apple M4 Max (64GB)?

Compatibility verdict VRAM threshold engine
Yes, it runs GPU accelerated

Yes. North Mini Code 1.0 runs on Apple M4 Max (64GB) at Q4_K_M (~21.1 GB of ~48 GB usable).

Needs ~21.1 GB Device usable ~48 GB

Runs at Q4_K_M using ~21.1 GB of ~48 GB usable. You have room for Q8_0 for higher quality.

That figure is at a 4k context and moves about ±15% as context length changes. Apple M4 Max (64GB) leaves ~26.9 GB of headroom, room to step up to Q8_0 for higher quality.

Q4_K_M needed
~21.1 GB
Usable on device
~48 GB
Device memory
64 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~48 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 Max (64GB)'s ~48 GB budget; rungs past it are too large.

Run it

Install commands macOS

Pick your tool. All 3 load the same Q4_K_M weights.

Ollama
$ ollama run north-mini-code-1.0
llama.cpp
$ llama-cli -hf bartowski/North-Mini-Code-1.0-GGUF:Q4_K_M
LM Studio
$ lms get bartowski/North-Mini-Code-1.0-GGUF
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
64 GB unified
Usable for weights
~48 GB
Power draw
~145 W
Best runtime
MLX direct / Ollama (MLX backend)
Best models for Apple M4 Max (64GB) →

You could also run

Run North Mini Code 1.0 on other hardware

FAQ

Can Apple M4 Max (64GB) run North Mini Code 1.0?

Yes. North Mini Code 1.0 runs on Apple M4 Max (64GB) at Q4_K_M (~21.1 GB of ~48 GB usable).

How much memory does North Mini Code 1.0 need?

Apple M4 Max (64GB) has room to spare. 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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North Mini Code 1.0 on Apple M4 Max (64GB) 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.