Can a AMD Instinct MI355X (288GB) run Llama 4 Scout (MoE)?

Yes — Llama 4 Scout (MoE) runs at FP16 (215.6 GB) at about 116–174 tok/s on a AMD Instinct MI355X (288GB).

How much memory does Llama 4 Scout (MoE) need?

Llama 4 Scout (MoE) needs about 41.2 GB at 4K context at its smallest quantization. A AMD Instinct MI355X (288GB) has 288.0 GB.

Yes — Llama 4 Scout (MoE) runs on a AMD Instinct MI355X (288GB) at FP16

Yes — it runs great.

Runs great

Best fit: Llama 4 Scout (MoE) at FP16 · 215.6 GB weights · 116–174 tok/s on a AMD Instinct MI355X (288GB).

Arena Text Overall · style-controlled

1,322FP16 untested

llama-4-scout-17b-16e-instruct · published configuration reference · FP16 not tested

Arena Text Overall (style-controlled), exact published entry llama-4-scout-17b-16e-instruct, 2026-10-08: reference rating 1,321.5. Published confidence bounds 1,316.8–1,326.3. 29,836 votes. Published llama-4-scout-17b-16e-instruct configuration reference. Reasoning mode is not disclosed by the Arena dataset. Tested precision, runtime and sampling settings are not disclosed in this dataset. Selected FP16 has not been measured by this Arena entry. No quantization quality adjustment is applied.

Snapshot published 2026-10-08 · snapshot imported 2026-10-11 UTC · validated last-good data · manual refresh

Arena leaderboard dataset · Arena / lmarena-ai, Arena Leaderboard Dataset (CC BY 4.0). Selected Text Overall style-controlled rows; field names adapted, ratings unchanged. · dataset CC BY 4.0 · revision e16f90232986

Total memory at 4K context: 217.2 GB; Weights + KV cache + runtime overhead
Estimated generation: 116–174 tok/s
Estimated first token: ~0.4s

Every quantization on this machine

On small screens, each quant lists every metric below its name. On wider screens, scroll sideways for total memory, speed and fit. Keyboard: focus the table, then use the arrow keys. Quant names stay visible.

Llama 4 Scout (MoE) quantizations on AMD Instinct MI355X (288GB), estimated at 4K context. Weights and total memory are shown separately.
Quant	Weights	Total memory	Speed	Fit
Q2_K	39.6 GB	41.2 GB	255–383 tok/s	Runs great
Q3_K_M	51.8 GB	53.4 GB	236–353 tok/s	Runs great
Q4_K_M	65.4 GB	67.0 GB	217–326 tok/s	Runs great
Q5_K_M	76.6 GB	78.2 GB	204–306 tok/s	Runs great
Q6_K	88.4 GB	90.0 GB	191–287 tok/s	Runs great
Q8_0	114.5 GB	116.1 GB	169–253 tok/s	Runs great
FP16	215.6 GB	217.2 GB	116–174 tok/s	Runs great

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