Can the RTX Spark N1X (128 GB) run Qwen2.5 72B?

Yes. Qwen2.5 72B fits the RTX Spark N1X (128 GB)'s 128 GB at Q4_K_M (about 41.8 GB needed), running at an estimated 3.9 tok/s. There's room for up to Q8_0 if you want higher quality.

Memory
128 GB
Needs at Q4
41.8 GB
Headroom
86.2 GB
Speed (Q4_K_M)
~3.9 tok/s

Every quantization

Qwen2.5 72B (72B) on 128 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M40 GB41.8 GBFits easily~3.9 tok/s
Q5_K_M48 GB49.8 GBFits easily~3.3 tok/s
Q8_078 GB79.8 GBFits~2 tok/s
FP16144 GB145.8 GBToo big -

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX Spark N1X (128 GB)'s 273 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode); bandwidth assumed equal to DGX Spark (GB10), which shares the 6,144-core GPU - NVIDIA has not published an N1X figure). Long contexts need more memory and run slower.

Run it

Copy, paste, go

ollama run qwen2.5:72b
llama-server -hf Qwen/Qwen2.5-72B-Instruct-GGUF -ngl 99

Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Qwen2.5 72B details →

Compare

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

Qwen2.5 72B on other hardware

Also runs on the RTX Spark N1X (128 GB)

Frequently asked

Quick answers

Can the NVIDIA RTX Spark N1X (128 GB) run Qwen2.5 72B?

Yes. Qwen2.5 72B fits the RTX Spark N1X (128 GB)'s 128 GB at Q4_K_M (about 41.8 GB needed), running at an estimated 3.9 tok/s. There's room for up to Q8_0 if you want higher quality.

How much VRAM does Qwen2.5 72B need?

About 40 GB of weights at Q4_K_M, 78 GB at Q8_0 and 144 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is Qwen2.5 72B on the RTX Spark N1X (128 GB)?

Roughly 3.9 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the RTX Spark N1X (128 GB)'s 273 GB/s memory bandwidth.