Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — you'll have ~62.2 GB of headroom running Llama 4.5 Scout at Q4_K_M (65.80875 GB, ~24 tok/s (est.)) with room for up to 128K context.
or compare on Vast.ai from $0.77/hr (typical low · varies)
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| VRAM | 128 GB unified memory |
| Memory Bandwidth | 546 GB/s |
| Quant | VRAM needed | Fits 128 GB? | Max context |
|---|---|---|---|
| F16 | 220.2 GB | ✗ No | — |
| Q8_0 | 118 GB | ✓ Yes | 32K |
| Q6_K | 91.6 GB | ✓ Yes | 64K |
| Q5_K_M | 79.4 GB | ✓ Yes | 128K |
| Q4_K_M | 68 GB | ✓ Yes | 128K |
| Q3_K_M | 48.6 GB | ✓ Yes | 128K |
| Q2_K | 38 GB | ✓ Yes | 256K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 128 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Llama 4.5 Scout | Q4_K_M · 65.80875 GB · ~24 tok/s (est.) |
At 2 hrs/day, buying (~$3,499) beats renting at $0.77/hr after about 6.3 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 ~62.2 GB of headroom running Llama 4.5 Scout at Q4_K_M (65.80875 GB, ~24 tok/s (est.)) with room for up to 128K context.
Llama 4.5 Scout at Q4_K_M quantization (65.80875 GB), estimated ~24 tokens/sec, up to 128K context.
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