Can I run Qwen3.8-27B-Humanlike-Chat-GGUF on an RTX 5060 Ti 16 GB?

Yes

Its F32 file (7.47 GB) fits in the 14.4 GB an RTX 5060 Ti 16 GB can use, with room for ≈ 101K tokens of context.

Full analysis of Qwen3.8-27B-Humanlike-Chat-GGUF Everything that runs on RTX 5060 Ti 16 GB Get the F32 file on Hugging Face

ollama run hf.co/LessThanThreeAI/Qwen3.8-27B-Humanlike-Chat-GGUF:F32

Files and context on RTX 5060 Ti 16 GB

Each file of Qwen3.8-27B-Humanlike-Chat-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	53.8 GB	Doesn't fit	—	—
Q8_0	28.6 GB	Doesn't fit	—	—
Q6_K	22.1 GB	Doesn't fit	—	—
Q5_K_M	19.2 GB	Doesn't fit	—	—
Q4_K_M	16.6 GB	Doesn't fit	—	—
IQ4_XS	15.1 GB	Doesn't fit	—	—
F32	7.47 GB	Fits	101K	202K

Qwen3.8-27B-Humanlike-Chat-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.