Can RTX 4090 24GB run Llama-4-Scout-17B-16E-Instruct?
NVIDIA · 24 GB GDDR6X · 1008 GB/s bandwidth ·
Meta · 109.0B (active 17.0B) · MoE · model ctx up to 10240K
No — Llama-4-Scout-17B-16E-Instruct at Q4 needs ≈ 62.65 GB even at 4K context, beyond the RTX 4090 24GB's 24 GB GDDR6X. It would only run with heavy CPU/disk offload. Decode at Q4/8K: ≈ 15.0 tok/s (estimated, batch 1). FP16 needs ≈ 222.4 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
62.65 GB
No
15.8est.
Q4
8K default
64.35 GB
No
15.0est.
Q4
32K
74.55 GB
No
11.2est.
FP16
4K
220.7 GB
No
—
FP16
8K default
222.4 GB
No
—
FP16
32K
232.6 GB
No
—
Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured
anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s
means the model is far beyond this card (offload-only territory).
VRAM breakdown at 8K context
Quant
Weights
KV cache
Overhead
Total needed
RTX 4090 24GB VRAM
Q4
59.95 GB
3.4 GB
1 GB
64.35 GB
24 GB
FP16
218.0 GB
3.4 GB
1 GB
222.4 GB
24 GB
Other GPUs that run Llama-4-Scout-17B-16E-Instruct