Can I run Qwen3.8-9B-Distill-GGUF on an RTX 5060 Ti 16 GB?

Yes

Its Q8_0 file (9.79 GB) fits in the 14.4 GB an RTX 5060 Ti 16 GB can use, with room for ≈ 136K tokens of context.

Full analysis of Qwen3.8-9B-Distill-GGUF Everything that runs on RTX 5060 Ti 16 GB Get the Q8_0 file on Hugging Face

ollama run hf.co/empero-ai/Qwen3.8-9B-Distill-GGUF:Q8_0

Files and context on RTX 5060 Ti 16 GB

Each file of Qwen3.8-9B-Distill-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)
BF16	18.4 GB	Doesn't fit	—	—
Q8_0	9.79 GB	Fits	136K	256K
Q6_K	7.56 GB	Fits	202K	256K
Q5_K_M	6.64 GB	Fits	230K	256K
Q4_K_M	5.78 GB	Fits	255K	256K

Qwen3.8-9B-Distill-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.