text model · North · Windows

Can I run North Mini Code 1.0 on 16GB RAM Laptop (CPU/iGPU only)?

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 16GB RAM Laptop (CPU/iGPU only) 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 16GB RAM Laptop (CPU/iGPU only) 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 16GB RAM Laptop (CPU/iGPU only)'s ~12 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 Windows

Memory: 16 GB ram
Usable for weights: ~12 GB
Power draw: ~28 W
Best runtime: Ollama (llama.cpp backend)

Best models for 16GB RAM Laptop (CPU/iGPU only) →

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 16GB RAM Laptop (CPU/iGPU only) run North Mini Code 1.0?

No. North Mini Code 1.0 needs ~21.1 GB even at Q4_K_M, but 16GB RAM Laptop (CPU/iGPU only) only has ~12 GB usable.

How much memory does North Mini Code 1.0 need?

16GB RAM Laptop (CPU/iGPU only) 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 Windows?

LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

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[![North Mini Code 1.0 on 16GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/badge/north-mini-code-1.0/laptop-16gb.svg)](https://localmodel.run/can-i-run/north-mini-code-1.0/laptop-16gb)

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.