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Can the Apple M3 Ultra (512 GB) run GLM-5.3 Flash (320B-A18B)?

91 ptsExcellent (S) · 91 of 100 points: Model quality 40.8/45, Memory fit 25.0/25, Speed 11.6/15, Memory use 13.7/15

Yes, it runs well

Runs well. At Q4_K_M it needs about 227 GB of 384 GB usable, with an estimated speed of 24.0 tok/s.

Best quant
Q4_K_M
Generation speed
24.0 tok/s
Prompt processing
978 tok/s
First token (1K prompt)
1.0 s
Largest safe context
1,024K

Download GLM-5.3 Flash (320B-A18B)

Recommended for the Apple M3 Ultra (512 GB): Q4_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 Q4_K_M (UD-Q4_K_XL) files (opens in a new tab)

huggingface.co/unsloth/GLM-5.3-Flash-GGUF (opens in a new tab)

ollama run hf.co/unsloth/GLM-5.3-Flash-GGUF

Original weights · Hugging Face

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

huggingface.co/zai-org/GLM-5.3-Flash (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/zai-org/GLM-5 (opens in a new tab)

git clone https://github.com/zai-org/GLM-5

Links checked 6 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.40.8 / 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.11.6 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.13.7 / 15
Total91.1 / 10091 ptsExcellent (S) · 91 of 100 points: Model quality 40.8/45, Memory fit 25.0/25, Speed 11.6/15, Memory use 13.7/15

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 160 GB 384 GB 39.5 tok/s Runs well 79 ptsGreat (A) · 79 of 100 points: Model quality 30.1/45, Memory fit 25.0/25, Speed 14.9/15, Memory use 9.6/15 GGUF (UD-Q2_K_XL) · folder (opens in a new tab)
Q3_K_M 189 GB 384 GB 31.1 tok/s Runs well 85 ptsExcellent (S) · 85 of 100 points: Model quality 36.1/45, Memory fit 25.0/25, Speed 13.2/15, Memory use 11.3/15 GGUF (UD-Q3_K_XL) · folder (opens in a new tab)
Q4_K_M 227 GB 384 GB 24.0 tok/s Runs well 91 ptsExcellent (S) · 91 of 100 points: Model quality 40.8/45, Memory fit 25.0/25, Speed 11.6/15, Memory use 13.7/15 GGUF (UD-Q4_K_XL) · folder (opens in a new tab)
Q5_K_M 260 GB 384 GB 19.9 tok/s Runs well 92 ptsExcellent (S) · 92 of 100 points: Model quality 41.6/45, Memory fit 25.0/25, Speed 10.6/15, Memory use 15.0/15 GGUF (UD-Q5_K_XL) · folder (opens in a new tab)
Q6_K 295 GB 384 GB 16.7 tok/s Runs well 92 ptsExcellent (S) · 92 of 100 points: Model quality 42.5/45, Memory fit 25.0/25, Speed 9.7/15, Memory use 15.0/15 GGUF (UD-Q6_K_XL) · folder (opens in a new tab)
Q8_0 372 GB 384 GB 12.2 tok/s Tight fit 90 ptsExcellent (S) · 90 of 100 points: Model quality 42.9/45, Memory fit 24.0/25, Speed 8.3/15, Memory use 15.0/15 GGUF · folder (opens in a new tab)
F16 674 GB 384 GB — Won't run 12 ptsWon't run (F) · 12 of 100 points: Model quality 12.9/45, 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.