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Can the Apple M3 Ultra (256 GB) run GLM-5.3 Flash (320B-A18B)?

88 ptsExcellent (S) · 88 of 100 points: Model quality 36.1/45, Memory fit 24.0/25, Speed 13.2/15, Memory use 15.0/15

Yes, with little memory to spare

Tight fit. At Q3_K_M it needs about 173 GB of 192 GB usable, with an estimated speed of 31.1 tok/s.

Best quant
Q3_K_M
Generation speed
31.1 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 (256 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 (UD-Q3_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 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.36.1 / 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.13.2 / 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
Total88.3 / 10088 ptsExcellent (S) · 88 of 100 points: Model quality 36.1/45, Memory fit 24.0/25, Speed 13.2/15, 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 145 GB 192 GB 39.5 tok/s Runs well 84 ptsGreat (A) · 84 of 100 points: Model quality 30.1/45, Memory fit 25.0/25, Speed 14.9/15, Memory use 15.0/15 GGUF (UD-Q2_K_XL) · folder (opens in a new tab)
Q3_K_M 173 GB 192 GB 31.1 tok/s Tight fit 88 ptsExcellent (S) · 88 of 100 points: Model quality 36.1/45, Memory fit 24.0/25, Speed 13.2/15, Memory use 15.0/15 GGUF (UD-Q3_K_XL) · folder (opens in a new tab)
Q4_K_M 212 GB 192 GB 20.4 tok/s Heavy offload 70 ptsGood (B) · 70 of 100 points: Model quality 40.8/45, Memory fit 4.0/25, Speed 10.7/15, Memory use 15.0/15 GGUF (UD-Q4_K_XL) · folder (opens in a new tab)
Q5_K_M 244 GB 192 GB — Won't run 12 ptsWon't run (F) · 12 of 100 points: Model quality 12.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (UD-Q5_K_XL) · folder (opens in a new tab)
Q6_K 280 GB 192 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 (UD-Q6_K_XL) · folder (opens in a new tab)
Q8_0 357 GB 192 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)
F16 659 GB 192 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.