Written by Jakub Rusinowski · Last updated April 5, 2025
Yes, comfortably — you'll have ~5.5 GB of headroom running Llama 4 Scout 17B at Q4_K_M (10.5 GB, ~400 tok/s (est.)).
Check price on Amazon — NVIDIA GeForce RTX 4080 Super 16GB
| VRAM | 16 GB |
| Memory Bandwidth | 736 GB/s |
| Quant | VRAM needed | Fits 16 GB? | Max context |
|---|---|---|---|
| F16 | 253.7 GB | ✗ No | — |
| Q8_0 | 151.5 GB | ✗ No | — |
| Q6_K | 125.1 GB | ✗ No | — |
| Q5_K_M | 112.9 GB | ✗ No | — |
| Q4_K_M | 101.5 GB | ✗ No | — |
| Q3_K_M | 82.1 GB | ✗ No | — |
| Q2_K | 71.5 GB | ✗ No | — |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 16 GB. 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 · 10.5 GB · ~400 tok/s (est.) |
At 2 hrs/day, buying (~$999) beats renting at $0.34/hr after about 4.1 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 ~5.5 GB of headroom running Llama 4 Scout 17B at Q4_K_M (10.5 GB, ~400 tok/s (est.)).
Llama 4 Scout 17B at Q4_K_M quantization (10.5 GB), estimated ~400 tokens/sec.
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