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Can the Apple M3 Ultra (512 GB) run Snowflake Arctic Instruct?

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

Yes, it runs well

Runs well. At Q4_K_M it needs about 324 GB of 384 GB usable, with an estimated speed of 25.5 tok/s.

Best quant
Q4_K_M
Generation speed
25.5 tok/s
Prompt processing
1,036 tok/s
First token (1K prompt)
1.0 s
Largest safe context
4K

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)

No sign-in needed.

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

How the A 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.21.4 / 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.12.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.15.0 / 15
Total73.3 / 10073 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

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

Every quantization on the Apple M3 Ultra (512 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 223 GB 384 GB 41.8 tok/s Runs well 69 ptsGood (B) · 69 of 100 points: Model quality 15.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.4/15 All files (opens in a new tab)
Q3_K_M 266 GB 384 GB 32.9 tok/s Runs well 72 ptsGreat (A) · 72 of 100 points: Model quality 18.9/45, Memory fit 25.0/25, Speed 13.6/15, Memory use 15.0/15 All files (opens in a new tab)
Q4_K_M 324 GB 384 GB 25.5 tok/s Runs well 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 All files (opens in a new tab)
Q5_K_M 372 GB 384 GB 21.0 tok/s Tight fit 71 ptsGood (B) · 71 of 100 points: Model quality 21.8/45, Memory fit 24.0/25, Speed 10.9/15, Memory use 15.0/15 All files (opens in a new tab)
Q6_K 424 GB 384 GB 15.0 tok/s Heavy offload 50 ptsUsable (C) · 50 of 100 points: Model quality 22.3/45, Memory fit 4.0/25, Speed 9.2/15, Memory use 15.0/15 All files (opens in a new tab)
Q8_0 539 GB 384 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 989 GB 384 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.

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.