Can the Apple M5 Max (64 GB) run MiniMax-M1 40K?

7 pts

No, it doesn’t fit

No. MiniMax-M1 40K needs about 187 GB even at Q2_K; the Apple M5 Max (64 GB) has 48.0 GB usable.

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)

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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.	7.7 / 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	7.7 / 100	7 ptsWon't run (F) · 7 of 100 points: Model quality 7.7/45, 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 M5 Max (64 GB)

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	187 GB	48.0 GB	—	Won't run	7 ptsWon't run (F) · 7 of 100 points: Model quality 7.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`Q3_K_M`	228 GB	48.0 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`	283 GB	48.0 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`	329 GB	48.0 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`	379 GB	48.0 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`	488 GB	48.0 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`	917 GB	48.0 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.

Hardware that can run it

82 ptsGreat (A) · 82 of 100 points: Model quality 35.1/45, Memory fit 25.0/25, Speed 7.3/15, Memory use 15.0/15 Apple M3 Ultra (512 GB) Q4_K_M · 9.4 tok/s
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 Apple M3 Ultra (256 GB) Q2_K · 13.2 tok/s

Models that do run on the Apple M5 Max (64 GB)

96 ptsExcellent (S) · 96 of 100 points: Model quality 41.7/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Qwen3.6 35B-A3B Q6_K · 75.1 tok/s
96 ptsExcellent (S) · 96 of 100 points: Model quality 41.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Gemma 4 26B-A4B Q8_0 · 43.5 tok/s
96 ptsExcellent (S) · 96 of 100 points: Model quality 41.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Qwen3.5 35B-A3B Q6_K · 75.1 tok/s
95 ptsExcellent (S) · 95 of 100 points: Model quality 40.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Ornith 1.5 35B-A3B Q6_K · 75.1 tok/s
94 ptsExcellent (S) · 94 of 100 points: Model quality 39.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Apodex 1.1 Mini (35B-A3B) Q6_K · 75.1 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.