LLMs ·

North Mini Code 1.0 (30B-A3B)

Parameters
30B (3.0B active)
Architecture
Mixture of experts
Max context
488K tokens
License
apache-2.0
Released
2026-06

How to run it

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

huggingface.co/unsloth/North-Mini-Code-1.0-GGUF (opens in a new tab)

ollama run hf.co/unsloth/North-Mini-Code-1.0-GGUF

Original weights · Hugging Face

Full-precision files from Cohere, for fine-tuning, vLLM, Transformers.

huggingface.co/CohereLabs/North-Mini-Code-1.0 (opens in a new tab)

No sign-in needed.

Memory needed

Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps.

KV cache: sliding-window hybrid: the KV estimate counts the global-attention layers plus a small allowance for the sliding-window layers.

Quantization Quality Weights Total at 8K context Total at 32K context Download
Q2_K Low 12.2 GB 13.1 GB 14.0 GB GGUF (UD-Q2_K_XL) (opens in a new tab)
Q3_K_M Low 14.9 GB 15.8 GB 16.7 GB GGUF (opens in a new tab)
Q4_K_M Good 18.6 GB 19.5 GB 20.4 GB GGUF (opens in a new tab)
Q5_K_M High 21.6 GB 22.5 GB 23.4 GB GGUF (opens in a new tab)
Q6_K High 25.0 GB 25.9 GB 26.8 GB GGUF (opens in a new tab)
Q8_0 Very high 32.3 GB 33.2 GB 34.1 GB GGUF (opens in a new tab)
F16 Full 61.0 GB 61.9 GB 62.8 GB GGUF · folder (opens in a new tab) Original weights (opens in a new tab)

Best hardware for North Mini Code 1.0 (30B-A3B)

The least expensive GPU in our catalog that runs it without offloading is the AMD Radeon RX 7600 XT (launch price $329) at Q2_K.

Grade · points Hardware Quant Memory Speed Fit
91 ptsExcellent (S) · 91 of 100 points: Model quality 36.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q8_0 37.1 GB / 48.0 GB 49.0 tok/s Runs well
91 ptsExcellent (S) · 91 of 100 points: Model quality 36.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell F16 66.7 GB / 96.0 GB 86.0 tok/s Runs well
89 ptsExcellent (S) · 89 of 100 points: Model quality 35.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.3/15 Apple M1 Max (64 GB) Q6_K 29.7 GB / 48.0 GB 48.9 tok/s Runs well
89 ptsExcellent (S) · 89 of 100 points: Model quality 34.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q5_K_M 24.1 GB / 32.0 GB 303 tok/s Runs well
89 ptsExcellent (S) · 89 of 100 points: Model quality 34.9/45, Memory fit 25.0/25, Speed 14.9/15, Memory use 15.0/15 Apple M4 Pro (48 GB) Q5_K_M 25.4 GB / 36.0 GB 39.7 tok/s Runs well
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX Q5_K_M 23.7 GB / 24.0 GB 140 tok/s Tight fit
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 Q5_K_M 23.7 GB / 24.0 GB 158 tok/s Tight fit
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 Q5_K_M 23.7 GB / 24.0 GB 170 tok/s Tight fit
85 ptsExcellent (S) · 85 of 100 points: Model quality 36.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.8/15 Apple M4 Max (128 GB) Q8_0 40.9 GB / 96.0 GB 49.0 tok/s Runs well
83 ptsGreat (A) · 83 of 100 points: Model quality 36.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 7.2/15 Apple M2 Ultra (192 GB) Q8_0 44.7 GB / 144 GB 71.7 tok/s Runs well

Check it on your own hardware

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.