作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, comfortably — you'll have ~62.2 GB of headroom running Llama 4 Scout 17B at Q4_K_M (65.80875 GB, ~28 tok/s (est.)) with room for up to 256K context.
or compare on Vast.ai from $0.77/hr (typical low · varies)
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| VRAM | 128 GB unified memory |
| Memory Bandwidth | 614 GB/s |
| Quant | VRAM needed | Fits 128 GB? | Max context |
|---|---|---|---|
| F16 | 219.6 GB | ✗ No | — |
| Q8_0 | 117.4 GB | ✓ Yes | 32K |
| Q6_K | 91 GB | ✓ Yes | 128K |
| Q5_K_M | 78.9 GB | ✓ Yes | 128K |
| Q4_K_M | 67.4 GB | ✓ Yes | 256K |
| Q3_K_M | 48.1 GB | ✓ Yes | 256K |
| Q2_K | 37.4 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 Scout 17B | Q4_K_M · 65.80875 GB · ~28 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 Scout 17B at Q4_K_M (65.80875 GB, ~28 tok/s (est.)) with room for up to 256K context.
Llama 4 Scout 17B at Q4_K_M quantization (65.80875 GB), estimated ~28 tokens/sec, up to 256K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Llama 4 Maverick 17B | 241.5 GB | Does not fit | — |
| Llama 4 Scout 17B | 65.8 GB | Runs | ~28 tok/s |
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