Can I run Tess-4.5-27B-GGUF on an RTX 5090?

Yes

Its Q6_K file (22.1 GB) fits in the 28.8 GB an RTX 5090 can use, with room for ≈ 98K tokens of context.

Full analysis of Tess-4.5-27B-GGUF Everything that runs on RTX 5090 Get the Q6_K file on Hugging Face

ollama run hf.co/migtissera/Tess-4.5-27B-GGUF:Q6_K

Files and context on RTX 5090

Each file of Tess-4.5-27B-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 5090	Context (16-bit)	Context (8-bit)
Q8_0	28.6 GB	Doesn't fit	767	1K
Q6_K	22.1 GB	Fits	98K	196K
Q4_K_M	16.5 GB	Fits	180K	256K

Tess-4.5-27B-GGUF on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX 5090

Qwen3-0.6BQwen · 752M
Qwen3-VL-8B-InstructQwen · 8.77B
gpt2openai-community · 137M
Qwen3-8BQwen · 8.19B
Qwen3-Coder-30B-A3B-Instruct-GGUFunsloth · 30.5B
Qwen2.5-7B-InstructQwen · 7.62B
Qwen3.5-9BQwen · 9.65B
Qwen2.5-0.5B-InstructQwen · 494M

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.