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Can the Apple M4 Max (64 GB) run Qwen2.5-Math 72B Instruct?

68 ptsGood (B) · 68 of 100 points: Model quality 21.9/45, Memory fit 24.0/25, Speed 7.6/15, Memory use 15.0/15

Yes, with little memory to spare

Tight fit. At Q3_K_M it needs about 41.4 GB of 48.0 GB usable, with an estimated speed of 10.3 tok/s.

Best quant
Q3_K_M
Generation speed
10.3 tok/s
Prompt processing
157 tok/s
First token (1K prompt)
6.5 s
Largest safe context
4K

Download Qwen2.5-Math 72B Instruct

Recommended for the Apple M4 Max (64 GB): Q3_K_M. Every other quantization has its own download link in the table below.

Quantized files · GGUF

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

Download the Q3_K_M file (opens in a new tab)

huggingface.co/bartowski/Qwen2.5-Math-72B-Instruct-GGUF (opens in a new tab)

ollama run hf.co/bartowski/Qwen2.5-Math-72B-Instruct-GGUF:Q3_K_M

Original weights · Hugging Face

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

huggingface.co/Qwen/Qwen2.5-Math-72B-Instruct (opens in a new tab)

No sign-in needed.

Links checked 7 days 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.21.9 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.24.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.7.6 / 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
Total68.5 / 10068 ptsGood (B) · 68 of 100 points: Model quality 21.9/45, Memory fit 24.0/25, Speed 7.6/15, 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 M4 Max (64 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 34.9 GB 48.0 GB 13.0 tok/s Runs well 66 ptsGood (B) · 66 of 100 points: Model quality 18.3/45, Memory fit 25.0/25, Speed 8.6/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q3_K_M 41.4 GB 48.0 GB 10.3 tok/s Tight fit 68 ptsGood (B) · 68 of 100 points: Model quality 21.9/45, Memory fit 24.0/25, Speed 7.6/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q4_K_M 50.1 GB 48.0 GB 6.7 tok/s Runs with offload 55 ptsUsable (C) · 55 of 100 points: Model quality 24.8/45, Memory fit 10.0/25, Speed 6.2/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q5_K_M 57.4 GB 48.0 GB 5.6 tok/s Heavy offload 49 ptsUsable (C) · 49 of 100 points: Model quality 25.3/45, Memory fit 4.0/25, Speed 5.6/15, Memory use 15.0/15 GGUF · folder (opens in a new tab)
Q6_K 65.4 GB 48.0 GB — Won't run 7 ptsWon't run (F) · 7 of 100 points: Model quality 7.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF · folder (opens in a new tab)
Q8_0 82.9 GB 48.0 GB — Won't run 7 ptsWon't run (F) · 7 of 100 points: Model quality 7.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF · folder (opens in a new tab)
F16 151 GB 48.0 GB — Won't run 7 ptsWon't run (F) · 7 of 100 points: Model quality 7.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 Original weights (opens in a new tab)

Memory figures assume 4K 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.