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Can an NVIDIA DGX Spark run Llama-3.2-1B-Instruct?

Yes. Llama-3.2-1B-Instruct needs 2.01GB at Q8_0 with llama.cpp and 8K context; the NVIDIA DGX Spark has 128GB of unified memory (~90% GPU-addressable) (114.7GB usable) — grade A+, with decode speed in the interactive tier.

NVIDIA DGX Spark · Llama-3.2-1B-Instruct · Q8_0

Fits — grade A+

InteractivebetaNew hardware class — tier not yet calibrated
weights 1.32 GBKV cache 0.27 GBoverhead 0.42 GBpool 114.7 GBneeds 2.01 GB

assumes llama.cpp · batch 1 · 8K context · fp16 KV cache

$4,699 MSRP · as of 2026-07-11

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Every quant, graded

NVIDIA DGX Spark × Llama-3.2-1B-Instruct, llama.cpp, 8K context.

QuantFile sizeFitSpeed tier
Q8_01.3 GBFits · A+interactive · beta
Q6_K1.0 GBFits · A+interactive · beta
Q5_K_M0.9 GBFits · A+interactive · beta
Q4_K_M0.8 GBFits · A+interactive · beta

Llama-3.2-1B-Instruct on similar hardware

More models on the NVIDIA DGX Spark

Verdict computed from published specs and measured GGUF file sizes — see how the math works.