Can a NVIDIA DGX Spark (GB10, 128GB) run Llama 3.3 70B Instruct?

Just about — Llama 3.3 70B Instruct runs at Q2_K (26.4 GB) at about 6–10 tok/s on a NVIDIA DGX Spark (GB10, 128GB).

How much memory does Llama 3.3 70B Instruct need?

Llama 3.3 70B Instruct needs about 28.5 GB at 4K context at its smallest quantization. A NVIDIA DGX Spark (GB10, 128GB) has 128.0 GB.

Tight fit: Llama 3.3 70B Instruct on a NVIDIA DGX Spark (GB10, 128GB) at Q2_K

Yes, but it's tight.

Tight / slow

Best fit: Llama 3.3 70B Instruct at Q2_K · 26.4 GB weights · 6–10 tok/s on a NVIDIA DGX Spark (GB10, 128GB).

Arena Text Overall · style-controlled

1,318Q2_K untested

llama-3.3-70b-instruct · published configuration reference · Q2_K not tested

Arena Text Overall (style-controlled), exact published entry llama-3.3-70b-instruct, 2026-10-08: reference rating 1,318. Published confidence bounds 1,314.5–1,321.5. 54,504 votes. Published llama-3.3-70b-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 Q2_K 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: 28.5 GB; Weights + KV cache + runtime overhead
Estimated generation: 6–10 tok/s
Estimated first token: ~17s

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 3.3 70B Instruct quantizations on NVIDIA DGX Spark (GB10, 128GB), estimated at 4K context. Weights and total memory are shown separately.
Quant	Weights	Total memory	Speed	Fit
Q2_K	26.4 GB	28.5 GB	6–10 tok/s	Tight / slow
Q3_K_M	34.3 GB	36.4 GB	5–8 tok/s	Tight / slow
Q4_K_M	42.5 GB	44.7 GB	4–6 tok/s	Tight / slow
Q5_K_M	50.0 GB	52.1 GB	4–5 tok/s	Tight / slow
Q6_K	57.9 GB	60.0 GB	3–5 tok/s	Tight / slow
Q8_0	75.0 GB	77.1 GB	2–4 tok/s	Tight / slow
FP16	141.1 GB	143.3 GB	— not resident	Won't fit

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