Snowflake Arctic Instruct on Apple M2 Pro (32 GB)

Can the Apple M2 Pro (32 GB) run Snowflake Arctic Instruct?

4 pts

No, it doesn’t fit

No. Snowflake Arctic Instruct needs about 194 GB even at Q2_K; the Apple M2 Pro (32 GB) has 21.4 GB usable.

Download Snowflake Arctic Instruct

Original weights · Hugging Face

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

huggingface.co/Snowflake/snowflake-arctic-instruct (opens in a new tab)

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Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the F 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.	4.7 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	0.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	0.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	0.0 / 15
Total	4.7 / 100	4 ptsWon't run (F) · 4 of 100 points: Model quality 4.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15

It doesn’t fit, so only a reduced share of the quality points counts and fit, speed and memory use score zero.

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`	194 GB	21.4 GB	—	Won't run	4 ptsWon't run (F) · 4 of 100 points: Model quality 4.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`Q3_K_M`	237 GB	21.4 GB	—	Won't run	5 ptsWon't run (F) · 5 of 100 points: Model quality 5.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`Q4_K_M`	295 GB	21.4 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`Q5_K_M`	343 GB	21.4 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`Q6_K`	395 GB	21.4 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`Q8_0`	510 GB	21.4 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`F16`	960 GB	21.4 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)

Memory figures assume 4K of context. Longer conversations or documents grow the KV cache.

Hardware that can run it

73 ptsGreat (A) · 73 of 100 points: Model quality 21.4/45, Memory fit 25.0/25, Speed 12.0/15, Memory use 15.0/15 Apple M3 Ultra (512 GB) Q4_K_M · 25.5 tok/s
54 ptsUsable (C) · 54 of 100 points: Model quality 15.8/45, Memory fit 10.0/25, Speed 14.1/15, Memory use 15.0/15 Apple M3 Ultra (256 GB) Q2_K · 35.5 tok/s

Models that do run on the Apple M2 Pro (32 GB)

91 ptsExcellent (S) · 91 of 100 points: Model quality 39.5/45, Memory fit 24.0/25, Speed 12.5/15, Memory use 15.0/15 Gemma 4 26B-A4B Q4_K_M · 27.8 tok/s
89 ptsExcellent (S) · 89 of 100 points: Model quality 35.3/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 Qwen3.6 35B-A3B Q3_K_M · 45.6 tok/s
89 ptsExcellent (S) · 89 of 100 points: Model quality 35.2/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 Qwen3.5 35B-A3B Q3_K_M · 45.6 tok/s
88 ptsExcellent (S) · 88 of 100 points: Model quality 33.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 GLM-4.7 Flash (30B-A3B) Q3_K_M · 45.6 tok/s
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 Ornith 1.5 35B-A3B Q3_K_M · 45.6 tok/s

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.