Model Anatomy See what's inside open-weight AI models

Can I run Spark-X2.6-1.7B-Base on an RTX 5060?

Yes

Its published weights (3.42 GB) fit in the 7.20 GB an RTX 5060 can use, with room for ≈ 256K tokens of context.

Full analysis of Spark-X2.6-1.7B-Base Everything that runs on RTX 5060 Get the weights on Hugging Face
hf download XHToken/Spark-X2.6-1.7B-Base

Files and context on RTX 5060

Each file of Spark-X2.6-1.7B-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.

FileSizeOn RTX 5060 Context (16-bit)Context (8-bit)
As published3.42 GBFits256K514K
4-bit (estimate)961 MBFits424K849K

Spark-X2.6-1.7B-Base on other hardware

Popular models that run on RTX 5060

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.