作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, comfortably — you'll have ~4.7 GB of headroom running GLM-5 32B at Q4_K_M (19.32 GB, ~28 tok/s (est.)) with room for up to 16K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 24 GB |
| Memory Bandwidth | 960 GB/s |
| Quant | VRAM needed | Fits 24 GB? | Max context |
|---|---|---|---|
| F16 | 65.7 GB | ✗ No | — |
| Q8_0 | 35.7 GB | ✗ No | — |
| Q6_K | 28 GB | ✗ No | — |
| Q5_K_M | 24.4 GB | ✗ No | — |
| Q4_K_M | 21 GB | ✓ Yes | 16K |
| Q3_K_M | 15.4 GB | ✓ Yes | 32K |
| Q2_K | 12.2 GB | ✓ Yes | 32K |
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-5 32B | Q4_K_M · 19.32 GB · ~28 tok/s (est.) |
| GLM-5 9B | Q4_K_M · 5.43375 GB · ~76 tok/s (est.) |
At 2 hrs/day, buying (~$999) beats renting at $0.34/hr after about 4.1 years.
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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 ~4.7 GB of headroom running GLM-5 32B at Q4_K_M (19.32 GB, ~28 tok/s (est.)) with room for up to 16K context.
GLM-5 32B at Q4_K_M quantization (19.32 GB), estimated ~28 tokens/sec, up to 16K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| GLM-5 744B | 449.2 GB | Does not fit | — |
| GLM-5.1 72B | 43.5 GB | Does not fit | — |
| GLM-5 32B | 19.3 GB | Runs | ~28 tok/s |
| GLM-5 9B | 5.4 GB | Runs | ~76 tok/s |
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