Can I Run GLM-5.2 on Apple M2 Ultra?
Written by Jakub Rusinowski · Last updated August 15, 2026
No — GLM-5.2 744B at Q4_K_M needs 455.2 GB at 8K context (449.2 GB weights + 6 GB KV cache/overhead), and the Apple M2 Ultra's 144 GB usable memory leaves it ~311.2 GB short.
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Apple M2 Ultra Specs
| VRAM | 192 GB unified memory |
| Memory Bandwidth | 800 GB/s |
GLM-5.2 744B on the Apple M2 Ultra: VRAM by quantization
| Quant | VRAM needed | Fits 192 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 1494 GB | ✗ No | — | — |
| Q8_0 | 796.5 GB | ✗ No | — | — |
| Q6_K | 616.1 GB | ✗ No | — | — |
| Q5_K_M | 533.3 GB | ✗ No | — | — |
| Q4_K_M | 455.2 GB | ✗ No | — | — |
| Q3_K_M | 323.2 GB | ✗ No | — | — |
| Q2_K | 250.6 GB | ✗ No | — | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 192 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the Apple M2 Ultra: 8K 455.2 GB ✗ · 32K 470.9 GB ✗ · 128K 533.7 GB ✗. Past 8K it no longer fits 192 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
Why It Does Not Fit
Every GLM-5.2 variant requires more VRAM than the Apple M2 Ultra provides (192 GB).
GLM-5.2 needs ~455 GB but this GPU has 192 GB. Rent a 8× H100 (640 GB)-class GPU by the hour instead of buying one:
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FAQ
Is the Apple M2 Ultra enough to run GLM-5.2 locally?
No — GLM-5.2 744B at Q4_K_M needs 455.2 GB at 8K context (449.2 GB weights + 6 GB KV cache/overhead), and the Apple M2 Ultra's 144 GB usable memory leaves it ~311.2 GB short.
Popular Models on the Apple M2 Ultra
VRAM Tier
Troubleshooting
- Ollama: "model requires more system memory than is available"
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
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