Can I run Qwen3.8-27B-GGUF on an RTX 3090?

Yes, just

Its Q4_K_M file (19.0 GB) fits in the 21.6 GB an RTX 3090 can use, with room for ≈ 37K tokens of context.

Full analysis of Qwen3.8-27B-GGUF Everything that runs on RTX 3090 Get the Q4_K_M file on Hugging Face

ollama run hf.co/ggml-org/Qwen3.8-27B-GGUF:Q4_K_M

Files and context on RTX 3090

Each file of Qwen3.8-27B-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 3090	Context (16-bit)	Context (8-bit)
BF16	53.8 GB	Doesn't fit	—	—
Q8_0	28.6 GB	Doesn't fit	—	—
Q4_K_M	19.0 GB	Tight	37K	74K
mtp-Qwen3.8-27B-BF16	5.95 GB	Fits	231K	256K

Qwen3.8-27B-GGUF on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes, just
RTX 3090Yes, just
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes
RTX 4060Yes, just
Mac with 32 GBYes, just
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX 3090

Qwen3-0.6BQwen · 752M
Qwen3-VL-8B-InstructQwen · 8.77B
gpt2openai-community · 137M
tiny-Qwen2ForCausalLM-2.5trl-internal-testing · 2.44M
Qwen3-8BQwen · 8.19B
Qwen3-Coder-30B-A3B-Instruct-GGUFunsloth · 30.5B
Qwen2.5-7B-InstructQwen · 7.62B
Qwen3.5-9BQwen · 9.65B

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.