作者： Jakub Rusinowski · 最后更新： 2026年2月14日
Yes, comfortably — you'll have ~1.8 GB of headroom running GLM-4.7 9B at Q4_K_M (6.2 GB, ~72 tok/s (est.)).
在亚马逊查看价格 — NVIDIA GeForce RTX 5060 Ti 8GB
| VRAM | 8 GB |
| Memory Bandwidth | 448 GB/s |
| Quant | VRAM needed | Fits 8 GB? | Max context |
|---|---|---|---|
| F16 | 21.7 GB | ✗ No | — |
| Q8_0 | 13.2 GB | ✗ No | — |
| Q6_K | 11.1 GB | ✗ No | — |
| Q5_K_M | 10.1 GB | ✗ No | — |
| Q4_K_M | 9.1 GB | ✗ No | — |
| Q3_K_M | 7.5 GB | ✓ Yes | 4K |
| Q2_K | 6.6 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 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| GLM-4.7 9B | Q4_K_M · 6.2 GB · ~72 tok/s (est.) |
At 2 hrs/day, buying (~$379) beats renting at $0.34/hr after about 19 months.
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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 ~1.8 GB of headroom running GLM-4.7 9B at Q4_K_M (6.2 GB, ~72 tok/s (est.)).
GLM-4.7 9B at Q4_K_M quantization (6.2 GB), estimated ~72 tokens/sec.
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