Autor: Jakub Rusinowski · Ostatnia aktualizacja: 14 lutego 2026
Yes, comfortably — you'll have ~1.8 GB of headroom running GLM-4.7 9B at Q4_K_M (6.2 GB, ~44 tok/s (est.)).
Sprawdź cenę na Amazon — NVIDIA GeForce RTX 4060 8GB
| VRAM | 8 GB |
| Memory Bandwidth | 272 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 · ~44 tok/s (est.) |
At 2 hrs/day, buying (~$299) beats renting at $0.34/hr after about 15 months.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
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, ~44 tok/s (est.)).
GLM-4.7 9B at Q4_K_M quantization (6.2 GB), estimated ~44 tokens/sec.
← Can I Run It? | GLM-4.7 / GLM-Z1 Model Page | NVIDIA GeForce RTX 4060 GPU Page | Check Your Hardware