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Can a DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) run Ling-3.1-flash 560B-A25B (MoE)?

No. Ling-3.1-flash 560B-A25B (MoE) does not fit on DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte): Q4_K_M needs 360.3 GB and 108.8 GB is usable.

Hardware: DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) · Model: Ling-3.1-flash 560B-A25B (MoE)

DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) has 128 GB of unified memory and 273 GB/s of memory bandwidth. DGX OS keeps about 15% of unified memory, so Ollama can use 108.8 GB. Ling-3.1-flash 560B-A25B (MoE) (560B, 25B active, inclusionAI) at Q4_K_M is a 357.97 GB download and needs 360.3 GB with headroom for about 8k tokens.

Best quantQ4_K_M
Download size357.97 GB
Memory needed360.3 GB
Usable fast memory108.8 GB
Fitdoes not fit
Estimated speedno estimate, it does not fit
Commandollama run hf.co/bartowski/Ling-3.1-flash-GGUF:Q4_K_M

Smallest hardware that runs it: 4x Mac Studio M5 Max (40c GPU) 128GB at Q4_K_M (fits in fast memory, 360.3 GB needed, 378.0 GB usable, about 34 tok/s (estimate)).

No smaller inclusionAI model in this list fits DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte).

Open DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) in the checker

Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.

A project by OnDevice Labs · llms.txt