MiniMax-Text-01 on Apple M3 Ultra (512 GB)

Can the Apple M3 Ultra (512 GB) run MiniMax-Text-01?

79 pts

Yes, it runs well

Runs well. At Q4_K_M it needs about 310 GB of 384 GB usable, with an estimated speed of 9.4 tok/s.

Best quant: Q4_K_M
Generation speed: 9.4 tok/s
Prompt processing: 384 tok/s
First token (1K prompt): 2.7 s
Largest safe context: 976K

Download MiniMax-Text-01

Original weights · Hugging Face

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

huggingface.co/MiniMaxAI/MiniMax-Text-01 (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.	32.5 / 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.	7.3 / 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
Total	79.8 / 100	79 ptsGreat (A) · 79 of 100 points: Model quality 32.5/45, Memory fit 25.0/25, Speed 7.3/15, 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`	214 GB	384 GB	15.5 tok/s	Runs well	71 ptsGood (B) · 71 of 100 points: Model quality 23.9/45, Memory fit 25.0/25, Speed 9.3/15, Memory use 12.9/15	All files (opens in a new tab)
`Q3_K_M`	255 GB	384 GB	12.2 tok/s	Runs well	77 ptsGreat (A) · 77 of 100 points: Model quality 28.7/45, Memory fit 25.0/25, Speed 8.3/15, Memory use 15.0/15	All files (opens in a new tab)
`Q4_K_M`	310 GB	384 GB	9.4 tok/s	Runs well	79 ptsGreat (A) · 79 of 100 points: Model quality 32.5/45, Memory fit 25.0/25, Speed 7.3/15, Memory use 15.0/15	All files (opens in a new tab)
`Q5_K_M`	355 GB	384 GB	7.8 tok/s	Tight fit	78 ptsGreat (A) · 78 of 100 points: Model quality 33.2/45, Memory fit 24.0/25, Speed 6.6/15, Memory use 15.0/15	All files (opens in a new tab)
`Q6_K`	406 GB	384 GB	5.6 tok/s	Runs with offload	64 ptsGood (B) · 64 of 100 points: Model quality 33.9/45, Memory fit 10.0/25, Speed 5.6/15, Memory use 15.0/15	All files (opens in a new tab)
`Q8_0`	515 GB	384 GB	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.3/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`F16`	944 GB	384 GB	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.3/45, 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

57 ptsUsable (C) · 57 of 100 points: Model quality 23.9/45, 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

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.