Can GLM-5.3 run on Mac Studio M5 Ultra 512GB?

YES — Runs great

IQ4_XS · 4K context · formula estimate

What this means

GLM-5.3 fits on the Mac Studio M5 Ultra · 512GB at IQ4_XS. We estimate it uses 436.4GB of the conservative 504GB working budget.

Estimated decode speed is 30.6–42.8 tokens/s. A roughly 300-word answer may take around 11 seconds.

View technical details ↓Setup guide →

30.6–42.8tokens/s

estimated · instant

436.4GB

needed at IQ4_XS

IQ4_XS

quant selected

67.6GB

working headroom

needs 436.4 GBworking budget 504 GB

Apple M5 Ultra512 GB unified memory MetalActive cooling

See how fast it feels

Using the midpoint of our 30.6–42.8 tokens/s estimate for this demo.

Live demo · 36.7 tokens/s

▌

Compare other speeds →

Where the memory goes

Component	Detail	GB
Model weights	IQ4_XS GGUF (365.3 GB) + mmap overhead	383.6
KV cache	4K context window	52.1
Runtime	macOS inference app + compute buffers	0.8
Total needed	at IQ4_XS, 4K context	436.4
Working budget	512 GB unified memory − conservative macOS reserve	504
Headroom	remaining inside the working budget	67.6

Pick your quant

Quant	Download	Memory	Estimated speed	Verdict
IQ1_S	216.7 GB	280.4 GB	~51.5–72.1 tok/s	✓ Runs great
IQ1_M	228.5 GB	292.8 GB	~48.8–68.4 tok/s	✓ Runs great
IQ2_M	238.6 GB	303.4 GB	~46.8–65.5 tok/s	✓ Runs great
Q2_K_XL	253.9 GB	319.5 GB	~44–61.5 tok/s	✓ Runs great
IQ3_XXS	281.7 GB	348.7 GB	~39.6–55.5 tok/s	✓ Runs great
Q3_K_XL	343 GB	413 GB	~32.5–45.6 tok/s	✓ Runs great
IQ4_XS ★	365.3 GB	436.4 GB	~30.6–42.8 tok/s	✓ Runs great
Q4_K_XL	467.3 GB	543.5 GB	—	✕ Won't fit
Q8_0	801.4 GB	894.4 GB	—	✕ Won't fit

Get it running on this Mac

Choose the beginner-friendly build instead.

This Mac has enough memory, but the tracked IQ4_XS ternary file is not supported by the current point-and-click apps. For a first local chat, use Bonsai 27B 1-bit in Locally AI. Do not download PQ2_0; the publisher marks it unsupported.

Only use the publisher tool if you are comfortable with Terminal.

The advanced path is complete below, but it is not required for ordinary local AI.

Advanced publisher setup (Terminal)

Install Apple's command-line tools if macOS asks, then run:

git clone https://github.com/PrismML-Eng/Bonsai-demo.git
cd Bonsai-demo
BONSAI_OPENWEBUI=0 BONSAI_SKIP_MLX=1 BONSAI_FAMILY=undefined BONSAI_MODEL=undefined ./setup.sh
BONSAI_FAMILY=undefined BONSAI_MODEL=undefined BONSAI_CTX=4096 ./scripts/start_llama_server.sh

When the server says it is ready, open http://localhost:8080. Start with 4K context. This route uses the publisher's Prism runtime, not Jan or LM Studio.

Other models on this Mac

Qwen3.8 2.4T-A95B · Q1_0 Inkling · IQ1_S LongCat Flash Chat · IQ1_S Ornith 1.0 397B · Q4_K_M GLM-5.3-Flash · Q4_K_XL Hunyuan 3 (Hy3) · Q4_K_M

GLM-5.3 on other Mac Studio M5 Ultra configurations

Check 96GB Check 256GB

FAQ

Can the Mac Studio M5 Ultra · 512GB run GLM-5.3?

Yes at IQ4_XS. We estimate about 436.4GB of working memory and 30.6–42.8 tokens/s at 4K context.

Which GLM-5.3 quant should I use on this Mac?

IQ4_XS. It is a 365.3GB download and leaves about 67.6GB inside our conservative working budget.

Which app should I use for GLM-5.3 on this Mac?

Current beginner Mac apps do not load this exact file. Use Bonsai 27B 1-bit in Locally AI instead, or open the advanced publisher instructions on this page.

Are these speeds measured on a Mac Studio M5 Ultra?

No. The range is a formula estimate based on memory bandwidth, model size, active parameters, cooling, and a 4K context. The app, backend, thermals, and prompt can change real performance.