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Can the Apple M2 Pro (32 GB) run North Micro Vision?

66 ptsGood (B) · 66 of 100 points: Model quality 19.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.3/15

Yes, it runs well

Runs well. At Q8_0 it needs about 5.9 GB of 21.4 GB usable, with an estimated speed of 43.4 tok/s.

Best quant
Q8_0
Generation speed
43.4 tok/s
Prompt processing
1,700 tok/s
First token (1K prompt)
0.6 s
Largest safe context
140K

Download North Micro Vision

Original weights · Hugging Face

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

huggingface.co/CohereLabs/North-Micro-Vision-Instruct (opens in a new tab)

No sign-in needed.

Links checked 1 week ago against Hugging Face, Ollama and GitHub.

How the B grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.19.8 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.15.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.6.3 / 15
Total66.1 / 10066 ptsGood (B) · 66 of 100 points: Model quality 19.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.3/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the Apple M2 Pro (32 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 4.2 GB 21.4 GB 140 tok/s Runs well 58 ptsGood (B) · 58 of 100 points: Model quality 13.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.6/15 All files (opens in a new tab)
Q3_K_M 4.5 GB 21.4 GB 110 tok/s Runs well 61 ptsGood (B) · 61 of 100 points: Model quality 16.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.8/15 All files (opens in a new tab)
Q4_K_M 4.8 GB 21.4 GB 85.2 tok/s Runs well 63 ptsGood (B) · 63 of 100 points: Model quality 18.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.1/15 All files (opens in a new tab)
Q5_K_M 5.0 GB 21.4 GB 70.4 tok/s Runs well 64 ptsGood (B) · 64 of 100 points: Model quality 19.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.4/15 All files (opens in a new tab)
Q6_K 5.3 GB 21.4 GB 59.1 tok/s Runs well 65 ptsGood (B) · 65 of 100 points: Model quality 19.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.7/15 All files (opens in a new tab)
Q8_0 5.9 GB 21.4 GB 43.4 tok/s Runs well 66 ptsGood (B) · 66 of 100 points: Model quality 19.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.3/15 All files (opens in a new tab)
F16 8.2 GB 21.4 GB 20.0 tok/s Runs well 64 ptsGood (B) · 64 of 100 points: Model quality 19.8/45, Memory fit 25.0/25, Speed 10.6/15, Memory use 8.8/15 Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

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.