Can I run FrogNano-4B-2609-GGUF on an RTX 5060?

Yes

Its Q8_0 file (4.62 GB) fits in the 7.20 GB an RTX 5060 can use, with room for ≈ 75K tokens of context.

Full analysis of FrogNano-4B-2609-GGUF Everything that runs on RTX 5060 Get the Q8_0 file on Hugging Face

ollama run hf.co/bartowski/FrogNano-4B-2609-GGUF:Q8_0

Files and context on RTX 5060

Each file of FrogNano-4B-2609-GGUF (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 5060	Context (16-bit)	Context (8-bit)
BF16	8.67 GB	Doesn't fit	—	—
Q8_0	4.62 GB	Fits	75K	151K
Q6_K_L	3.92 GB	Fits	96K	193K
Q6_K	3.76 GB	Fits	101K	202K
Q6_K_S	3.61 GB	Fits	105K	211K
Q5_K_M	3.36 GB	Fits	113K	226K
Q5_K_S	3.15 GB	Fits	119K	238K
Q4_K_L	2.97 GB	Fits	125K	249K
Q4_1	2.92 GB	Fits	126K	252K
Q4_K_M	2.80 GB	Fits	130K	256K
IQ4_NL	2.79 GB	Fits	130K	256K
Q4_0	2.72 GB	Fits	132K	256K
Q4_K_S	2.62 GB	Fits	135K	256K
IQ4_XS	2.51 GB	Fits	138K	256K
IQ3_M	2.35 GB	Fits	143K	256K
Q3_K_L	2.24 GB	Fits	146K	256K
Q3_K_M	2.14 GB	Fits	149K	256K
IQ3_XS	2.05 GB	Fits	152K	256K
Q3_K_S	2.04 GB	Fits	152K	256K
IQ3_XXS	1.98 GB	Fits	154K	256K
Q2_K	1.80 GB	Fits	159K	256K
IQ2_M	1.65 GB	Fits	164K	256K

FrogNano-4B-2609-GGUF 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.