Can the DGX Spark (GB10) run Laguna-XS-2.1?

Yes. Laguna-XS-2.1 fits the DGX Spark (GB10)'s 128 GB at Q4_K_M (about 20.8 GB needed), running at an estimated 8.3 tok/s. There's room for up to FP16 if you want higher quality.

VRAM
128 GB
Needs at Q4
20.8 GB
Headroom
107.2 GB
Speed (Q4_K_M)
~8.3 tok/s

Every quantization

Laguna-XS-2.1 (33.4B) on 128 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M19 GB20.8 GBFits easily~8.3 tok/s
Q5_K_M24 GB25.8 GBFits easily~6.5 tok/s
Q8_036 GB37.8 GBFits easily~4.4 tok/s
FP1667 GB68.8 GBFits easily~2.3 tok/s

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the DGX Spark (GB10)'s 273.2 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.

Run it

Copy, paste, go

llama-server -hf poolside/Laguna-XS-2.1-GGUF -ngl 99

Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Laguna-XS-2.1 details →

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Same model, other hardware - and other models on this card

Laguna-XS-2.1 on other hardware

Also runs on the DGX Spark (GB10)

Frequently asked

Quick answers

Can the NVIDIA DGX Spark (GB10) run Laguna-XS-2.1?

Yes. Laguna-XS-2.1 fits the DGX Spark (GB10)'s 128 GB at Q4_K_M (about 20.8 GB needed), running at an estimated 8.3 tok/s. There's room for up to FP16 if you want higher quality.

How much VRAM does Laguna-XS-2.1 need?

About 19 GB of weights at Q4_K_M, 36 GB at Q8_0 and 67 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is Laguna-XS-2.1 on the DGX Spark (GB10)?

Roughly 8.3 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the DGX Spark (GB10)'s 273.2 GB/s memory bandwidth.