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Can the Apple M3 Ultra (512 GB) run MiniMax M3 (427B)?

90 ptsExcellent (S) · 90 of 100 points: Model quality 40.5/45, Memory fit 25.0/25, Speed 9.9/15, Memory use 15.0/15

Yes, it runs well

Runs well. At Q4_K_M it needs about 293 GB of 384 GB usable, with an estimated speed of 17.3 tok/s.

Best quant
Q4_K_M
Generation speed
17.3 tok/s
Prompt processing
704 tok/s
First token (1K prompt)
1.5 s
Largest safe context
732K

Download MiniMax M3 (427B)

Recommended for the Apple M3 Ultra (512 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-M3-GGUF (opens in a new tab)

ollama run hf.co/unsloth/MiniMax-M3-GGUF

Original weights · Hugging Face

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

huggingface.co/MiniMaxAI/MiniMax-M3 (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-M3 (opens in a new tab)

git clone https://github.com/MiniMax-AI/MiniMax-M3

Links checked 5 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.40.5 / 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.9.9 / 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
Total90.4 / 10090 ptsExcellent (S) · 90 of 100 points: Model quality 40.5/45, Memory fit 25.0/25, Speed 9.9/15, 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 203 GB 384 GB 28.4 tok/s Runs well 79 ptsGreat (A) · 79 of 100 points: Model quality 29.9/45, Memory fit 25.0/25, Speed 12.6/15, Memory use 12.2/15 GGUF (UD-Q2_K_XL) · folder (opens in a new tab)
Q3_K_M 242 GB 384 GB 22.4 tok/s Runs well 86 ptsExcellent (S) · 86 of 100 points: Model quality 35.8/45, Memory fit 25.0/25, Speed 11.2/15, Memory use 14.5/15 GGUF · folder (opens in a new tab)
Q4_K_M 293 GB 384 GB 17.3 tok/s Runs well 90 ptsExcellent (S) · 90 of 100 points: Model quality 40.5/45, Memory fit 25.0/25, Speed 9.9/15, Memory use 15.0/15 GGUF · folder (opens in a new tab)
Q5_K_M 336 GB 384 GB 14.3 tok/s Tight fit 89 ptsExcellent (S) · 89 of 100 points: Model quality 41.4/45, Memory fit 24.0/25, Speed 9.0/15, Memory use 15.0/15 GGUF · folder (opens in a new tab)
Q6_K 382 GB 384 GB 12.0 tok/s Tight fit 89 ptsExcellent (S) · 89 of 100 points: Model quality 42.2/45, Memory fit 24.0/25, Speed 8.2/15, Memory use 15.0/15 GGUF · folder (opens in a new tab)
Q8_0 485 GB 384 GB — Won't run 12 ptsWon't run (F) · 12 of 100 points: Model quality 12.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF · folder (opens in a new tab)
F16 886 GB 384 GB — Won't run 12 ptsWon't run (F) · 12 of 100 points: Model quality 12.8/45, 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

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.