Can I run Spark-X2.6-4B-Base on an RTX 5090?

Yes

Its published weights (8.22 GB) fit in the 28.8 GB an RTX 5090 can use, with room for ≈ 544K tokens of context.

Full analysis of Spark-X2.6-4B-Base Everything that runs on RTX 5090 Get the weights on Hugging Face

hf download XHToken/Spark-X2.6-4B-Base

Files and context on RTX 5090

Each file of Spark-X2.6-4B-Base (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On RTX 5090	Context (16-bit)	Context (8-bit)
As published	8.22 GB	Fits	544K	1M
4-bit (estimate)	2.31 GB	Fits	700K	1M

Spark-X2.6-4B-Base on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes
RTX 4060Probably, at 4-bit
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX 5090

Qwen3-0.6BQwen · 752M
Qwen3-VL-8B-InstructQwen · 8.77B
gpt2openai-community · 137M
Qwen3-8BQwen · 8.19B
Qwen3-Coder-30B-A3B-Instruct-GGUFunsloth · 30.5B
Qwen2.5-7B-InstructQwen · 7.62B
Qwen3.5-9BQwen · 9.65B
Qwen2.5-0.5B-InstructQwen · 494M

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.