Autor: Jakub Rusinowski · Ostatnia aktualizacja: 14 lutego 2026
Yes, comfortably — you'll have ~4.5 GB of headroom running GLM-Z1 32B (Reasoning) at Q4_K_M (19.5 GB, ~48 tok/s (est.)).
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| VRAM | 24 GB |
| Memory Bandwidth | 936 GB/s |
| Quant | VRAM needed | Fits 24 GB? | Max context |
|---|---|---|---|
| F16 | 75 GB | ✗ No | — |
| Q8_0 | 45 GB | ✗ No | — |
| Q6_K | 37.3 GB | ✗ No | — |
| Q5_K_M | 33.7 GB | ✗ No | — |
| Q4_K_M | 30.4 GB | ✗ No | — |
| Q3_K_M | 24.7 GB | ✗ No | — |
| Q2_K | 21.6 GB | ✓ Yes | 4K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 24 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| GLM-Z1 32B (Reasoning) | Q4_K_M · 19.5 GB · ~48 tok/s (est.) |
| GLM-4.7 9B | Q4_K_M · 6.2 GB · ~151 tok/s (est.) |
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~4.5 GB of headroom running GLM-Z1 32B (Reasoning) at Q4_K_M (19.5 GB, ~48 tok/s (est.)).
GLM-Z1 32B (Reasoning) at Q4_K_M quantization (19.5 GB), estimated ~48 tokens/sec.
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