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Can the Apple M3 Ultra (256 GB) run MiniMax-M1 40K?

59 ptsGood (B) · 59 of 100 points: Model quality 25.8/45, Memory fit 10.0/25, Speed 8.6/15, Memory use 15.0/15

Yes, with part of the model in system RAM

Runs with offload. At Q2_K it needs about 199 GB of 192 GB usable, with an estimated speed of 13.2 tok/s.

Best quant
Q2_K
Generation speed
13.2 tok/s
Prompt processing
384 tok/s
First token (1K prompt)
2.7 s
Largest safe context
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Download MiniMax-M1 40K

Original weights · Hugging Face

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

huggingface.co/MiniMaxAI/MiniMax-M1-40k (opens in a new tab)

No sign-in needed.

Links checked 46 minutes 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.25.8 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.10.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.8.6 / 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
Total59.4 / 10059 ptsGood (B) · 59 of 100 points: Model quality 25.8/45, Memory fit 10.0/25, Speed 8.6/15, 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 (256 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 199 GB 192 GB 13.2 tok/s Runs with offload 59 ptsGood (B) · 59 of 100 points: Model quality 25.8/45, Memory fit 10.0/25, Speed 8.6/15, Memory use 15.0/15 All files (opens in a new tab)
Q3_K_M 240 GB 192 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 9.3/45, 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 192 GB — Won't run 10 ptsWon't run (F) · 10 of 100 points: Model quality 10.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 All files (opens in a new tab)
Q5_K_M 340 GB 192 GB — Won't run 10 ptsWon't run (F) · 10 of 100 points: Model quality 10.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 All files (opens in a new tab)
Q6_K 390 GB 192 GB — Won't run 10 ptsWon't run (F) · 10 of 100 points: Model quality 11.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 All files (opens in a new tab)
Q8_0 500 GB 192 GB — Won't run 11 ptsWon't run (F) · 11 of 100 points: Model quality 11.1/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 All files (opens in a new tab)
F16 928 GB 192 GB — Won't run 11 ptsWon't run (F) · 11 of 100 points: Model quality 11.1/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 Original weights (opens in a new tab)

Memory figures assume 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.