Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026
Yes, but it's tight — GLM-5.1 72B at Q4_K_M needs 43.47 GB of the NVIDIA L40S's 48 GB, leaving only ~4.5 GB, ~17 tok/s (est.) with room for up to 8K context.
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| VRAM | 48 GB |
| Memory Bandwidth | 864 GB/s |
| Quant | VRAM needed | Fits 48 GB? | Max context |
|---|---|---|---|
| F16 | 146 GB | ✗ No | — |
| Q8_0 | 78.5 GB | ✗ No | — |
| Q6_K | 61 GB | ✗ No | — |
| Q5_K_M | 53 GB | ✗ No | — |
| Q4_K_M | 45.5 GB | ✓ Yes | 8K |
| Q3_K_M | 32.7 GB | ✓ Yes | 32K |
| Q2_K | 25.7 GB | ✓ Yes | 64K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 48 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| GLM-5.1 72B | Q4_K_M · 43.47 GB · ~17 tok/s (est.) |
| GLM-5 32B | Q4_K_M · 19.32 GB · ~36 tok/s (est.) |
| GLM-5 9B | Q4_K_M · 5.43375 GB · ~102 tok/s (est.) |
At 2 hrs/day, buying (~$7,499) beats renting at $0.77/hr after about 13.5 years.
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Yes, but it's tight — GLM-5.1 72B at Q4_K_M needs 43.47 GB of the NVIDIA L40S's 48 GB, leaving only ~4.5 GB, ~17 tok/s (est.) with room for up to 8K context.
GLM-5.1 72B at Q4_K_M quantization (43.47 GB), estimated ~17 tokens/sec, up to 8K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| GLM-5 744B | 449.2 GB | Does not fit | — |
| GLM-5.1 72B | 43.5 GB | Runs | ~17 tok/s |
| GLM-5 32B | 19.3 GB | Runs | ~36 tok/s |
| GLM-5 9B | 5.4 GB | Runs | ~102 tok/s |
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