Can I run Nanbeige4.3-33B-GSQ-RCO-GGUF on an RTX 5060 Ti 16 GB?

Yes, just

Its IQ2_M file (12.7 GB) fits in the 14.4 GB an RTX 5060 Ti 16 GB can use, with room for ≈ 8K tokens of context. That file is under 3 bits per weight, so expect noticeably lower quality.

Full analysis of Nanbeige4.3-33B-GSQ-RCO-GGUF Everything that runs on RTX 5060 Ti 16 GB Get the IQ2_M file on Hugging Face

ollama run hf.co/abenzerps/Nanbeige4.3-33B-GSQ-RCO-GGUF:IQ2_M

Files and context on RTX 5060 Ti 16 GB

Each file of Nanbeige4.3-33B-GSQ-RCO-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 Ti 16 GB	Context (16-bit)	Context (8-bit)
Q5_K_M	23.8 GB	Doesn't fit	—	—
IQ4_XS	18.7 GB	Doesn't fit	—	—
IQ3_M	16.1 GB	Doesn't fit	—	—
IQ3_XS	14.8 GB	Doesn't fit	—	—
IQ2_M	12.7 GB	Tight	8K	15K
IQ2_XS	10.9 GB	Fits	16K	32K
IQ2_XXS	9.90 GB	Fits	21K	41K

Nanbeige4.3-33B-GSQ-RCO-GGUF on other hardware

Popular models that run on RTX 5060 Ti 16 GB

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.