text model · North · Windows
Can I run North Mini Code 1.0 on Nvidia GeForce RTX 3090 (24GB)?
Yes. North Mini Code 1.0 runs on Nvidia GeForce RTX 3090 (24GB) at Q4_K_M (~21.1 GB of ~23 GB usable).
Fits at Q4_K_M (~21.1 GB of ~23 GB usable) but with little headroom. Close other apps; a smaller context frees a few hundred MB.
That figure is at a 4k context and moves about ±15% as context length changes. Nvidia GeForce RTX 3090 (24GB) leaves ~1.9 GB of headroom.
- Q4_K_M needed
- ~21.1 GB
- Usable on device
- ~23 GB
- Device memory
- 24 GB
- Best quant
- Q4_K_M
Which quant fits
Run it
Pick your tool. All 3 load the same Q4_K_M weights.
ollama run north-mini-code-1.0 llama-cli -hf bartowski/North-Mini-Code-1.0-GGUF:Q4_K_M lms get bartowski/North-Mini-Code-1.0-GGUF - 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
- Memory
- 24 GB vram
- Usable for weights
- ~23 GB
- Power draw
- ~350 W
- Best runtime
- vLLM (Linux) / Ollama (CUDA)
You could also run
Run North Mini Code 1.0 on other hardware
FAQ
Can Nvidia GeForce RTX 3090 (24GB) run North Mini Code 1.0?
Yes. North Mini Code 1.0 runs on Nvidia GeForce RTX 3090 (24GB) at Q4_K_M (~21.1 GB of ~23 GB usable).
How much memory does North Mini Code 1.0 need?
It is a tight fit on Nvidia GeForce RTX 3090 (24GB). 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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A live badge for your model card or README, updated as the data is. [](https://localmodel.run/can-i-run/north-mini-code-1.0/nvidia-rtx-3090-24gb) 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.