MiniMax M2.7 (230B-A10B) on Apple M3 Ultra (256 GB)

Can the Apple M3 Ultra (256 GB) run MiniMax M2.7 (230B-A10B)?

94 pts

Yes, it runs well

Runs well. At Q4_K_M it needs about 158 GB of 192 GB usable, with an estimated speed of 43.3 tok/s.

Best quant: Q4_K_M
Generation speed: 43.3 tok/s
Prompt processing: 1,761 tok/s
First token (1K prompt): 0.6 s
Largest safe context: 140K

Download MiniMax M2.7 (230B-A10B)

Recommended for the Apple M3 Ultra (256 GB): Q4_K_M. Every other quantization has its own download link in the table below.

Ollama

Ollama offers this only as a cloud model (it runs on Ollama’s servers, not your machine). To run it locally, use the GGUF files below.

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the Q4_K_M files (opens in a new tab)

huggingface.co/unsloth/MiniMax-M2.7-GGUF (opens in a new tab)

ollama run hf.co/unsloth/MiniMax-M2.7-GGUF

Original weights · Hugging Face

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

huggingface.co/MiniMaxAI/MiniMax-M2.7 (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from MiniMax. The weights themselves download from Hugging Face.

github.com/MiniMax-AI/MiniMax-M2.7 (opens in a new tab)

git clone https://github.com/MiniMax-AI/MiniMax-M2.7

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

How the S 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.	40.0 / 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.	15.0 / 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
Total	95.0 / 100	94 ptsExcellent (S) · 94 of 100 points: Model quality 40.0/45, Memory fit 25.0/25, Speed 15.0/15, 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 (256 GB)

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	110 GB	192 GB	71.1 tok/s	Runs well	82 ptsGreat (A) · 82 of 100 points: Model quality 29.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.2/15	GGUF (UD-Q2_K_XL) · folder (opens in a new tab)
`Q3_K_M`	130 GB	192 GB	56.0 tok/s	Runs well	90 ptsExcellent (S) · 90 of 100 points: Model quality 35.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF · folder (opens in a new tab)
`Q4_K_M`	158 GB	192 GB	43.3 tok/s	Runs well	94 ptsExcellent (S) · 94 of 100 points: Model quality 40.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF · folder (opens in a new tab)
`Q5_K_M`	180 GB	192 GB	35.8 tok/s	Tight fit	93 ptsExcellent (S) · 93 of 100 points: Model quality 40.8/45, Memory fit 24.0/25, Speed 14.2/15, Memory use 15.0/15	GGUF · folder (opens in a new tab)
`Q6_K`	206 GB	192 GB	25.5 tok/s	Runs with offload	78 ptsGreat (A) · 78 of 100 points: Model quality 41.7/45, Memory fit 10.0/25, Speed 12.0/15, Memory use 15.0/15	GGUF · folder (opens in a new tab)
`Q8_0`	260 GB	192 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.6/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`F16`	475 GB	192 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.6/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab) 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

91 ptsExcellent (S) · 91 of 100 points: Model quality 40.8/45, Memory fit 25.0/25, Speed 14.2/15, Memory use 11.8/15 Apple M3 Ultra (512 GB) Q5_K_M · 35.8 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 Apple M2 Ultra (192 GB) Q3_K_M · 54.7 tok/s
80 ptsGreat (A) · 80 of 100 points: Model quality 29.5/45, Memory fit 24.0/25, Speed 12.4/15, Memory use 15.0/15 NVIDIA GB10 (128 GB) Q2_K · 27.5 tok/s
69 ptsGood (B) · 69 of 100 points: Model quality 29.5/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M4 Max (128 GB) Q2_K · 40.3 tok/s
69 ptsGood (B) · 69 of 100 points: Model quality 29.5/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell Q2_K · 98.4 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.